{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/rebeccalittman/Desktop/PSRM Submission/Replication Files/Data/ReplicationResults.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}11 Oct 2016, 10:46:10
{txt}
{com}. 
. 
. /********************* PAPER ANALYSES **********************/
. 
. 
. ************************************************
. ***************** Paper Tables *****************
. ************************************************
. 
. 
. *************************************
. **** Table 1. DESCRIPTIVE STATS ****
. *************************************
. 
. // Summary statistics for demographic covariates
. 
.         tab1 gender_z urban_z

{res}-> tabulation of gender_z  

   {txt}gender_z {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}      6,531       40.12       40.12
{txt}          1 {c |}{res}      9,748       59.88      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     16,279      100.00

-> tabulation of urban_z  

    {txt}urban_z {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     11,005       67.60       67.60
{txt}          1 {c |}{res}      5,274       32.40      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     16,279      100.00
{txt}
{com}.         tab d010 // head of household

    {txt}Head of {c |}
  household {c |}
     (D010) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        Yes {c |}{res}      6,448       39.71       39.71
{txt}         No {c |}{res}      9,789       60.29      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     16,237      100.00
{txt}
{com}.         tab d050 // able to read

    {txt}Can you {c |}
read in any {c |}
   language {c |}
       with {c |}
understandi {c |}
   ng (D50) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        Yes {c |}{res}      8,952       55.42       55.42
{txt}         No {c |}{res}      7,200       44.58      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     16,152      100.00
{txt}
{com}.         tab d070 // able to do math

     {txt}What is {c |}
  seven plus {c |}
      eleven {c |}
      (D70)? {c |}      Freq.     Percent        Cum.
{hline 13}{c +}{hline 35}
          18 {c |}{res}     12,229       80.26       80.26
{txt}Other answer {c |}{res}      3,007       19.74      100.00
{txt}{hline 13}{c +}{hline 35}
       Total {c |}{res}     15,236      100.00
{txt}
{com}.                 
.         summ d030 // age

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}d030 {c |}{res}     16237    35.26791    12.23915         18         88
{txt}
{com}.         summ d080 // education level

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}d080 {c |}{res}     16101    1.696913    1.717374          0          6
{txt}
{com}.         summ d140 // household expenditures

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}d140 {c |}{res}     15112    16471.22    9714.785          0      90000
{txt}
{com}. 
.         summ assets

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 6}assets {c |}{res}     16279    8.677867    2.892605          0         18
{txt}
{com}. 
. // Summary statistics for religiosity covariates
. 
.         tab q020 // religious sect

      {txt}Which {c |}
   madrassa {c |}
  you would {c |}
  prefer if {c |}
 your child {c |}
     has to {c |}
learn Quran {c |}
     (Q020) {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
      Sunni {c |}{res}      7,253       48.68       48.68
{txt}   Deobandi {c |}{res}      5,928       39.79       88.47
{txt}  Ahl-hadis {c |}{res}        585        3.93       92.40
{txt}   Ahl-Shia {c |}{res}        601        4.03       96.43
{txt}          5 {c |}{res}          7        0.05       96.48
{txt} Non Muslim {c |}{res}        384        2.58       99.05
{txt}  No Maslik {c |}{res}        141        0.95      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     14,899      100.00
{txt}
{com}.         summ q050 // prays namaz

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 8}q050 {c |}{res}     15523    3.419507     1.68224          0          5
{txt}
{com}.         tab q052 // prays tah namaz

     {txt}Do you {c |}
      offer {c |}
     tahjud {c |}
prayer(Q052 {c |}
         )? {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        Yes {c |}{res}      2,275       15.31       15.31
{txt}         No {c |}{res}     12,583       84.69      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     14,858      100.00
{txt}
{com}. 
. 
. ***********************************
. **** Table 2. FACTOR ANALYSIS ****
. ***********************************
. 
. // Confirmatory Factor Analysis
. 
.         factor d_services d_noncorrupt d_security d_justice d_punish d_restrict, pcf
{txt}(obs=14759)

Factor analysis/correlation{col 52}Number of obs    = {res}   14759
{col 5}{txt}Method: principal-component factors{col 52}Retained factors = {res}       2
{col 5}{txt}Rotation: (unrotated){col 52}Number of params = {res}      11

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.89263      0.57777            0.3154       0.3154
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}      1.31486      0.43034            0.2191       0.5346
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}      0.88451      0.18741            0.1474       0.6820
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}      0.69710      0.04975            0.1162       0.7982
{txt}{col 5}{ralign 11:Factor5}  {c |}{res}      0.64735      0.08380            0.1079       0.9061
{txt}{col 5}{ralign 11:Factor6}  {c |}{res}      0.56356            .            0.0939       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}15{txt}) ={res} 8561.67{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{space 1}{ralign 8:Factor2}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:d_services}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1414}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7429}}}{space 1}
{space 4}{space 0}{ralign 12:d_noncorrupt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0669}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4211}}}{space 1}
{space 4}{space 0}{ralign 12:d_security}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4675}}}{space 1}
{space 4}{space 0}{ralign 12:d_justice}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4605}}}{space 1}
{space 4}{space 0}{ralign 12:d_punish}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8003}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3523}}}{space 1}
{space 4}{space 0}{ralign 12:d_restrict}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8050}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3482}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{c  BT}{hline 14}

{com}.         rotate

{txt}Factor analysis/correlation{col 52}Number of obs    = {res}   14759
{col 5}{txt}Method: principal-component factors{col 52}Retained factors = {res}       2
{col 5}{txt}Rotation: orthogonal varimax (Kaiser off){col 52}Number of params = {res}      11

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Variance}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.89219      0.57690            0.3154       0.3154
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}      1.31529            .            0.2192       0.5346
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}15{txt}) ={res} 8561.67{txt} Prob>chi2 ={res} 0.0000

{txt}Rotated factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{space 1}{ralign 8:Factor2}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:d_services}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1548}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7429}}}{space 1}
{space 4}{space 0}{ralign 12:d_noncorrupt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4211}}}{space 1}
{space 4}{space 0}{ralign 12:d_security}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4675}}}{space 1}
{space 4}{space 0}{ralign 12:d_justice}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0105}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4605}}}{space 1}
{space 4}{space 0}{ralign 12:d_punish}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8023}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3523}}}{space 1}
{space 4}{space 0}{ralign 12:d_restrict}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8031}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3482}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{c  BT}{hline 14}

Factor rotation matrix

{space 4}{hline 13}{c  TT}{hline 9}{hline 9}
{space 4}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 7:Factor1}{space 1}{space 1}{ralign 7:Factor2}{space 1}
{space 4}{hline 13}{c   +}{hline 9}{hline 9}
{space 4}{space 0}{ralign 12:Factor1}{space 1}{c |}{space 1}{ralign 7:{res:{sf: 0.9996}}}{space 1}{space 1}{ralign 7:{res:{sf: 0.0275}}}{space 1}
{space 4}{space 0}{ralign 12:Factor2}{space 1}{c |}{space 1}{ralign 7:{res:{sf:-0.0275}}}{space 1}{space 1}{ralign 7:{res:{sf: 0.9996}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 9}{hline 9}

{com}.         
.         ** Note: Rotated factor loadings (pattern matrix) and unique variances� table in the output file  
.         * correspond to Table 2
. 
. 
. ************************************************
. **** Table 3. SHARIA AND DEMOCRACY RESULTS ****
. ************************************************
. 
. // Sharia and support for democratic values
. 
.         ** Note: Table 3 shows results for all four models, but not does present covariates in the table.
.         ** For a version of the table with covariates presented, see Appendix 3 Table 2.
. 
.         // (1) Basic model + district fixed effects
. 
.         areg democracy d_provides d_imposes, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}   2{txt},{res}   1261{txt}){col 67}= {res}     10.37
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2251
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2217
{txt}{col 51}Root MSE{col 67}= {res}    0.1566

{txt}{ralign 78:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   democracy{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}d_provides {c |}{col 14}{res}{space 2}  .059061{col 26}{space 2} .0137812{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .0320243{col 67}{space 3} .0860977
{txt}{space 3}d_imposes {c |}{col 14}{res}{space 2}-.0084533{col 26}{space 2} .0067735{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.0217419{col 67}{space 3} .0048353
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7070727{col 26}{space 2} .0129838{col 37}{space 1}   54.46{col 46}{space 3}0.000{col 54}{space 4} .6816005{col 67}{space 3} .7325449
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   20.43
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
.         // (2) Basic model + district fixed effects + demographic covariates
. 
.         areg democracy d_provides d_imposes *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  25{txt},{res}   1261{txt}){col 67}= {res}      5.42
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2429
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2384
{txt}{col 51}Root MSE{col 67}= {res}    0.1549

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2} .0597663{col 30}{space 2} .0135497{col 41}{space 1}    4.41{col 50}{space 3}0.000{col 58}{space 4} .0331839{col 71}{space 3} .0863487
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2}-.0114359{col 30}{space 2} .0066793{col 41}{space 1}   -1.71{col 50}{space 3}0.087{col 58}{space 4}-.0245395{col 71}{space 3} .0016678
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0247431{col 30}{space 2}  .007398{col 41}{space 1}    3.34{col 50}{space 3}0.001{col 58}{space 4} .0102294{col 71}{space 3} .0392567
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0036384{col 30}{space 2} .0078475{col 41}{space 1}    0.46{col 50}{space 3}0.643{col 58}{space 4}-.0117571{col 71}{space 3} .0190339
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0102617{col 30}{space 2} .0045356{col 41}{space 1}    2.26{col 50}{space 3}0.024{col 58}{space 4} .0013635{col 71}{space 3} .0191599
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0057817{col 30}{space 2} .0109367{col 41}{space 1}    0.53{col 50}{space 3}0.597{col 58}{space 4}-.0156743{col 71}{space 3} .0272378
{txt}{space 10}read_z {c |}{col 18}{res}{space 2}  .002461{col 30}{space 2} .0052821{col 41}{space 1}    0.47{col 50}{space 3}0.641{col 58}{space 4}-.0079016{col 71}{space 3} .0128236
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0040957{col 30}{space 2} .0061145{col 41}{space 1}    0.67{col 50}{space 3}0.503{col 58}{space 4}   -.0079{col 71}{space 3} .0160914
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0350038{col 30}{space 2} .0091106{col 41}{space 1}    3.84{col 50}{space 3}0.000{col 58}{space 4} .0171303{col 71}{space 3} .0528774
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0367849{col 30}{space 2}  .019879{col 41}{space 1}   -1.85{col 50}{space 3}0.064{col 58}{space 4}-.0757846{col 71}{space 3} .0022147
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0126285{col 30}{space 2} .0168707{col 41}{space 1}    0.75{col 50}{space 3}0.454{col 58}{space 4}-.0204692{col 71}{space 3} .0457261
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0004958{col 30}{space 2} .0236829{col 41}{space 1}   -0.02{col 50}{space 3}0.983{col 58}{space 4}-.0469579{col 71}{space 3} .0459664
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0031259{col 30}{space 2} .0223491{col 41}{space 1}   -0.14{col 50}{space 3}0.889{col 58}{space 4}-.0469714{col 71}{space 3} .0407196
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0102829{col 30}{space 2} .0252244{col 41}{space 1}    0.41{col 50}{space 3}0.684{col 58}{space 4}-.0392034{col 71}{space 3} .0597693
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0143401{col 30}{space 2} .0255336{col 41}{space 1}    0.56{col 50}{space 3}0.574{col 58}{space 4}-.0357529{col 71}{space 3} .0644331
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0137703{col 30}{space 2} .0239432{col 41}{space 1}   -0.58{col 50}{space 3}0.565{col 58}{space 4}-.0607432{col 71}{space 3} .0332025
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0111138{col 30}{space 2} .0289684{col 41}{space 1}   -0.38{col 50}{space 3}0.701{col 58}{space 4}-.0679455{col 71}{space 3} .0457178
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0088597{col 30}{space 2} .0471328{col 41}{space 1}   -0.19{col 50}{space 3}0.851{col 58}{space 4} -.101327{col 71}{space 3} .0836075
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0464054{col 30}{space 2} .0236467{col 41}{space 1}   -1.96{col 50}{space 3}0.050{col 58}{space 4}-.0927966{col 71}{space 3}-.0000142
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0493697{col 30}{space 2} .0266222{col 41}{space 1}   -1.85{col 50}{space 3}0.064{col 58}{space 4}-.1015984{col 71}{space 3} .0028591
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0302863{col 30}{space 2} .0301007{col 41}{space 1}    1.01{col 50}{space 3}0.315{col 58}{space 4}-.0287667{col 71}{space 3} .0893393
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0201296{col 30}{space 2} .0219795{col 41}{space 1}   -0.92{col 50}{space 3}0.360{col 58}{space 4}  -.06325{col 71}{space 3} .0229907
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}-.0191829{col 30}{space 2} .0090733{col 41}{space 1}   -2.11{col 50}{space 3}0.035{col 58}{space 4}-.0369834{col 71}{space 3}-.0013824
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0345429{col 30}{space 2} .0285803{col 41}{space 1}   -1.21{col 50}{space 3}0.227{col 58}{space 4}-.0906131{col 71}{space 3} .0215273
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0018107{col 30}{space 2} .0089471{col 41}{space 1}    0.20{col 50}{space 3}0.840{col 58}{space 4}-.0157422{col 71}{space 3} .0193637
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .6776184{col 30}{space 2} .0268591{col 41}{space 1}   25.23{col 50}{space 3}0.000{col 58}{space 4} .6249251{col 71}{space 3} .7303118
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   23.54
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
.         // (3) Basic model + district fixed effects + demographic covariates + religion covariates
. 
.         areg democracy d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  34{txt},{res}   1261{txt}){col 67}= {res}      5.49
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2500
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2452
{txt}{col 51}Root MSE{col 67}= {res}    0.1542

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2} .0561518{col 30}{space 2} .0132488{col 41}{space 1}    4.24{col 50}{space 3}0.000{col 58}{space 4} .0301597{col 71}{space 3} .0821439
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2}-.0094978{col 30}{space 2} .0066125{col 41}{space 1}   -1.44{col 50}{space 3}0.151{col 58}{space 4}-.0224705{col 71}{space 3} .0034748
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}  .024488{col 30}{space 2} .0073624{col 41}{space 1}    3.33{col 50}{space 3}0.001{col 58}{space 4} .0100441{col 71}{space 3} .0389319
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0028934{col 30}{space 2} .0077544{col 41}{space 1}    0.37{col 50}{space 3}0.709{col 58}{space 4}-.0123195{col 71}{space 3} .0181064
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0107078{col 30}{space 2} .0044928{col 41}{space 1}    2.38{col 50}{space 3}0.017{col 58}{space 4} .0018936{col 71}{space 3}  .019522
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0072955{col 30}{space 2}  .011055{col 41}{space 1}    0.66{col 50}{space 3}0.509{col 58}{space 4}-.0143928{col 71}{space 3} .0289838
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0037459{col 30}{space 2} .0052282{col 41}{space 1}    0.72{col 50}{space 3}0.474{col 58}{space 4} -.006511{col 71}{space 3} .0140028
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0041564{col 30}{space 2} .0060618{col 41}{space 1}    0.69{col 50}{space 3}0.493{col 58}{space 4} -.007736{col 71}{space 3} .0160488
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0307871{col 30}{space 2} .0090237{col 41}{space 1}    3.41{col 50}{space 3}0.001{col 58}{space 4} .0130839{col 71}{space 3} .0484903
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0352572{col 30}{space 2} .0197675{col 41}{space 1}   -1.78{col 50}{space 3}0.075{col 58}{space 4} -.074038{col 71}{space 3} .0035237
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0148142{col 30}{space 2} .0168705{col 41}{space 1}    0.88{col 50}{space 3}0.380{col 58}{space 4}-.0182832{col 71}{space 3} .0479115
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2} .0016304{col 30}{space 2} .0240783{col 41}{space 1}    0.07{col 50}{space 3}0.946{col 58}{space 4}-.0456075{col 71}{space 3} .0488683
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2} -.003597{col 30}{space 2} .0229379{col 41}{space 1}   -0.16{col 50}{space 3}0.875{col 58}{space 4}-.0485977{col 71}{space 3} .0414036
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0137162{col 30}{space 2} .0255862{col 41}{space 1}    0.54{col 50}{space 3}0.592{col 58}{space 4}  -.03648{col 71}{space 3} .0639124
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0161375{col 30}{space 2} .0260022{col 41}{space 1}    0.62{col 50}{space 3}0.535{col 58}{space 4}-.0348748{col 71}{space 3} .0671499
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0102172{col 30}{space 2} .0243736{col 41}{space 1}   -0.42{col 50}{space 3}0.675{col 58}{space 4}-.0580346{col 71}{space 3} .0376002
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0115125{col 30}{space 2} .0291715{col 41}{space 1}   -0.39{col 50}{space 3}0.693{col 58}{space 4}-.0687426{col 71}{space 3} .0457175
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0131088{col 30}{space 2} .0489095{col 41}{space 1}   -0.27{col 50}{space 3}0.789{col 58}{space 4}-.1090617{col 71}{space 3} .0828441
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0461586{col 30}{space 2}  .024031{col 41}{space 1}   -1.92{col 50}{space 3}0.055{col 58}{space 4}-.0933037{col 71}{space 3} .0009865
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0485488{col 30}{space 2} .0263462{col 41}{space 1}   -1.84{col 50}{space 3}0.066{col 58}{space 4} -.100236{col 71}{space 3} .0031385
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0370462{col 30}{space 2} .0312919{col 41}{space 1}    1.18{col 50}{space 3}0.237{col 58}{space 4}-.0243436{col 71}{space 3} .0984361
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0121356{col 30}{space 2} .0218123{col 41}{space 1}   -0.56{col 50}{space 3}0.578{col 58}{space 4} -.054928{col 71}{space 3} .0306568
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} -.019467{col 30}{space 2} .0090054{col 41}{space 1}   -2.16{col 50}{space 3}0.031{col 58}{space 4}-.0371342{col 71}{space 3}-.0017997
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0336666{col 30}{space 2} .0280003{col 41}{space 1}   -1.20{col 50}{space 3}0.229{col 58}{space 4}-.0885989{col 71}{space 3} .0212657
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0029357{col 30}{space 2} .0087778{col 41}{space 1}    0.33{col 50}{space 3}0.738{col 58}{space 4} -.014285{col 71}{space 3} .0201565
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2}-.0795485{col 30}{space 2} .0158511{col 41}{space 1}   -5.02{col 50}{space 3}0.000{col 58}{space 4}-.1106459{col 71}{space 3}-.0484511
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}-.0751126{col 30}{space 2} .0159608{col 41}{space 1}   -4.71{col 50}{space 3}0.000{col 58}{space 4}-.1064253{col 71}{space 3}-.0437999
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2}-.0623795{col 30}{space 2} .0164533{col 41}{space 1}   -3.79{col 50}{space 3}0.000{col 58}{space 4}-.0946584{col 71}{space 3}-.0301005
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2} -.076148{col 30}{space 2} .0197648{col 41}{space 1}   -3.85{col 50}{space 3}0.000{col 58}{space 4}-.1149235{col 71}{space 3}-.0373726
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0054607{col 30}{space 2} .0015087{col 41}{space 1}    3.62{col 50}{space 3}0.000{col 58}{space 4} .0025009{col 71}{space 3} .0084204
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2}-.0291909{col 30}{space 2} .0068533{col 41}{space 1}   -4.26{col 50}{space 3}0.000{col 58}{space 4}-.0426359{col 71}{space 3}-.0157458
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2}-.0712384{col 30}{space 2} .0172104{col 41}{space 1}   -4.14{col 50}{space 3}0.000{col 58}{space 4}-.1050026{col 71}{space 3}-.0374743
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0155339{col 30}{space 2} .0130166{col 41}{space 1}   -1.19{col 50}{space 3}0.233{col 58}{space 4}-.0410704{col 71}{space 3} .0100026
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}-.0245486{col 30}{space 2} .0082362{col 41}{space 1}   -2.98{col 50}{space 3}0.003{col 58}{space 4}-.0407068{col 71}{space 3}-.0083904
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7404178{col 30}{space 2} .0310673{col 41}{space 1}   23.83{col 50}{space 3}0.000{col 58}{space 4} .6794685{col 71}{space 3}  .801367
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   21.06
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
.         // (4) Basic model + tehsil fixed effects + demographic covariates
. 
.         areg democracy d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a8)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  34{txt},{res}   1261{txt}){col 67}= {res}      5.60
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3193
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3083
{txt}{col 51}Root MSE{col 67}= {res}    0.1477

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2} .0708716{col 30}{space 2} .0128761{col 41}{space 1}    5.50{col 50}{space 3}0.000{col 58}{space 4} .0456107{col 71}{space 3} .0961325
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2}  -.01139{col 30}{space 2} .0066145{col 41}{space 1}   -1.72{col 50}{space 3}0.085{col 58}{space 4}-.0243665{col 71}{space 3} .0015866
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0280219{col 30}{space 2} .0082751{col 41}{space 1}    3.39{col 50}{space 3}0.001{col 58}{space 4} .0117875{col 71}{space 3} .0442564
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0039438{col 30}{space 2} .0083537{col 41}{space 1}    0.47{col 50}{space 3}0.637{col 58}{space 4}-.0124448{col 71}{space 3} .0203324
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0102129{col 30}{space 2} .0043852{col 41}{space 1}    2.33{col 50}{space 3}0.020{col 58}{space 4} .0016099{col 71}{space 3} .0188159
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0048457{col 30}{space 2} .0101399{col 41}{space 1}    0.48{col 50}{space 3}0.633{col 58}{space 4}-.0150472{col 71}{space 3} .0247386
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0032345{col 30}{space 2} .0050159{col 41}{space 1}    0.64{col 50}{space 3}0.519{col 58}{space 4}-.0066059{col 71}{space 3} .0130749
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0046503{col 30}{space 2} .0059679{col 41}{space 1}    0.78{col 50}{space 3}0.436{col 58}{space 4}-.0070578{col 71}{space 3} .0163583
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0256948{col 30}{space 2} .0083734{col 41}{space 1}    3.07{col 50}{space 3}0.002{col 58}{space 4} .0092675{col 71}{space 3}  .042122
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0420056{col 30}{space 2} .0192549{col 41}{space 1}   -2.18{col 50}{space 3}0.029{col 58}{space 4}-.0797808{col 71}{space 3}-.0042304
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0299914{col 30}{space 2} .0171847{col 41}{space 1}    1.75{col 50}{space 3}0.081{col 58}{space 4}-.0037224{col 71}{space 3} .0637053
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0029733{col 30}{space 2} .0205623{col 41}{space 1}   -0.14{col 50}{space 3}0.885{col 58}{space 4}-.0433135{col 71}{space 3} .0373669
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0124657{col 30}{space 2} .0203603{col 41}{space 1}   -0.61{col 50}{space 3}0.540{col 58}{space 4}-.0524095{col 71}{space 3} .0274781
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0097684{col 30}{space 2} .0232182{col 41}{space 1}    0.42{col 50}{space 3}0.674{col 58}{space 4}-.0357823{col 71}{space 3}  .055319
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0016775{col 30}{space 2} .0224601{col 41}{space 1}   -0.07{col 50}{space 3}0.940{col 58}{space 4}-.0457409{col 71}{space 3} .0423858
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0106628{col 30}{space 2} .0213316{col 41}{space 1}   -0.50{col 50}{space 3}0.617{col 58}{space 4}-.0525121{col 71}{space 3} .0311866
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0271982{col 30}{space 2} .0278776{col 41}{space 1}   -0.98{col 50}{space 3}0.329{col 58}{space 4}-.0818898{col 71}{space 3} .0274934
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0137391{col 30}{space 2} .0489375{col 41}{space 1}   -0.28{col 50}{space 3}0.779{col 58}{space 4}-.1097469{col 71}{space 3} .0822688
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0430446{col 30}{space 2} .0221807{col 41}{space 1}   -1.94{col 50}{space 3}0.053{col 58}{space 4}-.0865597{col 71}{space 3} .0004706
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} -.042307{col 30}{space 2} .0268844{col 41}{space 1}   -1.57{col 50}{space 3}0.116{col 58}{space 4}-.0950501{col 71}{space 3}  .010436
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0321753{col 30}{space 2} .0340965{col 41}{space 1}    0.94{col 50}{space 3}0.346{col 58}{space 4}-.0347168{col 71}{space 3} .0990675
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0086513{col 30}{space 2} .0225729{col 41}{space 1}    0.38{col 50}{space 3}0.702{col 58}{space 4}-.0356332{col 71}{space 3} .0529359
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}-.0173582{col 30}{space 2} .0085481{col 41}{space 1}   -2.03{col 50}{space 3}0.042{col 58}{space 4}-.0341283{col 71}{space 3}-.0005882
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0313249{col 30}{space 2} .0281353{col 41}{space 1}   -1.11{col 50}{space 3}0.266{col 58}{space 4}-.0865222{col 71}{space 3} .0238723
{txt}houseexpend_miss {c |}{col 18}{res}{space 2}-.0012816{col 30}{space 2} .0086438{col 41}{space 1}   -0.15{col 50}{space 3}0.882{col 58}{space 4}-.0182394{col 71}{space 3} .0156762
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2}-.0764846{col 30}{space 2} .0158112{col 41}{space 1}   -4.84{col 50}{space 3}0.000{col 58}{space 4}-.1075038{col 71}{space 3}-.0454654
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}-.0731811{col 30}{space 2} .0158978{col 41}{space 1}   -4.60{col 50}{space 3}0.000{col 58}{space 4}-.1043703{col 71}{space 3} -.041992
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2}-.0569955{col 30}{space 2} .0163471{col 41}{space 1}   -3.49{col 50}{space 3}0.001{col 58}{space 4} -.089066{col 71}{space 3}-.0249251
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.0786275{col 30}{space 2}  .019075{col 41}{space 1}   -4.12{col 50}{space 3}0.000{col 58}{space 4}-.1160497{col 71}{space 3}-.0412053
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0042537{col 30}{space 2} .0014495{col 41}{space 1}    2.93{col 50}{space 3}0.003{col 58}{space 4}   .00141{col 71}{space 3} .0070974
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2}-.0244099{col 30}{space 2} .0066866{col 41}{space 1}   -3.65{col 50}{space 3}0.000{col 58}{space 4}-.0375279{col 71}{space 3}-.0112919
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2}-.0751461{col 30}{space 2} .0172116{col 41}{space 1}   -4.37{col 50}{space 3}0.000{col 58}{space 4}-.1089127{col 71}{space 3}-.0413796
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0051669{col 30}{space 2} .0129963{col 41}{space 1}   -0.40{col 50}{space 3}0.691{col 58}{space 4}-.0306638{col 71}{space 3} .0203299
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}-.0210239{col 30}{space 2} .0079546{col 41}{space 1}   -2.64{col 50}{space 3}0.008{col 58}{space 4}-.0366296{col 71}{space 3}-.0054182
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7295859{col 30}{space 2} .0297784{col 41}{space 1}   24.50{col 50}{space 3}0.000{col 58}{space 4} .6711651{col 71}{space 3} .7880066
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a8 {c |}   absorbed                                     (216 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   34.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. // Binning people
.         
.         areg democracy highprov_highimp lowprov_lowimp lowprov_highimp *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  26{txt},{res}   1261{txt}){col 67}= {res}      5.63
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2449
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2404
{txt}{col 51}Root MSE{col 67}= {res}    0.1547

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
highprov_highimp {c |}{col 18}{res}{space 2}-.0187415{col 30}{space 2} .0066504{col 41}{space 1}   -2.82{col 50}{space 3}0.005{col 58}{space 4}-.0317886{col 71}{space 3}-.0056944
{txt}{space 2}lowprov_lowimp {c |}{col 18}{res}{space 2}-.0423017{col 30}{space 2} .0074877{col 41}{space 1}   -5.65{col 50}{space 3}0.000{col 58}{space 4}-.0569914{col 71}{space 3}-.0276119
{txt}{space 1}lowprov_highimp {c |}{col 18}{res}{space 2}-.0315151{col 30}{space 2} .0079333{col 41}{space 1}   -3.97{col 50}{space 3}0.000{col 58}{space 4}-.0470791{col 71}{space 3}-.0159511
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0237677{col 30}{space 2}  .007342{col 41}{space 1}    3.24{col 50}{space 3}0.001{col 58}{space 4} .0093638{col 71}{space 3} .0381717
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0030635{col 30}{space 2} .0078232{col 41}{space 1}    0.39{col 50}{space 3}0.695{col 58}{space 4}-.0122843{col 71}{space 3} .0184114
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0103095{col 30}{space 2} .0045308{col 41}{space 1}    2.28{col 50}{space 3}0.023{col 58}{space 4} .0014208{col 71}{space 3} .0191982
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0053241{col 30}{space 2} .0109136{col 41}{space 1}    0.49{col 50}{space 3}0.626{col 58}{space 4}-.0160867{col 71}{space 3} .0267349
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0032245{col 30}{space 2} .0052614{col 41}{space 1}    0.61{col 50}{space 3}0.540{col 58}{space 4}-.0070975{col 71}{space 3} .0135466
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0039721{col 30}{space 2} .0061547{col 41}{space 1}    0.65{col 50}{space 3}0.519{col 58}{space 4}-.0081025{col 71}{space 3} .0160467
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0331837{col 30}{space 2} .0090851{col 41}{space 1}    3.65{col 50}{space 3}0.000{col 58}{space 4} .0153602{col 71}{space 3} .0510073
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0373754{col 30}{space 2} .0197779{col 41}{space 1}   -1.89{col 50}{space 3}0.059{col 58}{space 4}-.0761768{col 71}{space 3} .0014259
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0132997{col 30}{space 2} .0167419{col 41}{space 1}    0.79{col 50}{space 3}0.427{col 58}{space 4}-.0195454{col 71}{space 3} .0461448
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2} .0013337{col 30}{space 2} .0235978{col 41}{space 1}    0.06{col 50}{space 3}0.955{col 58}{space 4}-.0449615{col 71}{space 3}  .047629
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0014488{col 30}{space 2} .0223168{col 41}{space 1}   -0.06{col 50}{space 3}0.948{col 58}{space 4}-.0452309{col 71}{space 3} .0423333
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0123515{col 30}{space 2} .0252295{col 41}{space 1}    0.49{col 50}{space 3}0.625{col 58}{space 4} -.037145{col 71}{space 3}  .061848
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0158288{col 30}{space 2} .0254781{col 41}{space 1}    0.62{col 50}{space 3}0.535{col 58}{space 4}-.0341553{col 71}{space 3} .0658129
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0101549{col 30}{space 2} .0239767{col 41}{space 1}   -0.42{col 50}{space 3}0.672{col 58}{space 4}-.0571934{col 71}{space 3} .0368837
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0110888{col 30}{space 2} .0290953{col 41}{space 1}   -0.38{col 50}{space 3}0.703{col 58}{space 4}-.0681693{col 71}{space 3} .0459918
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0065117{col 30}{space 2} .0473546{col 41}{space 1}   -0.14{col 50}{space 3}0.891{col 58}{space 4}-.0994142{col 71}{space 3} .0863908
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0449437{col 30}{space 2} .0235987{col 41}{space 1}   -1.90{col 50}{space 3}0.057{col 58}{space 4}-.0912407{col 71}{space 3} .0013533
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0473957{col 30}{space 2} .0266378{col 41}{space 1}   -1.78{col 50}{space 3}0.075{col 58}{space 4}-.0996551{col 71}{space 3} .0048636
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2}  .027971{col 30}{space 2} .0302281{col 41}{space 1}    0.93{col 50}{space 3}0.355{col 58}{space 4}-.0313319{col 71}{space 3} .0872739
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0214584{col 30}{space 2} .0222444{col 41}{space 1}   -0.96{col 50}{space 3}0.335{col 58}{space 4}-.0650986{col 71}{space 3} .0221818
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}-.0178502{col 30}{space 2} .0090951{col 41}{space 1}   -1.96{col 50}{space 3}0.050{col 58}{space 4}-.0356934{col 71}{space 3}-7.06e-06
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0350145{col 30}{space 2} .0286376{col 41}{space 1}   -1.22{col 50}{space 3}0.222{col 58}{space 4} -.091197{col 71}{space 3} .0211681
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0020496{col 30}{space 2} .0088868{col 41}{space 1}    0.23{col 50}{space 3}0.818{col 58}{space 4}-.0153849{col 71}{space 3} .0194841
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7397898{col 30}{space 2} .0239282{col 41}{space 1}   30.92{col 50}{space 3}0.000{col 58}{space 4} .6928463{col 71}{space 3} .7867332
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         areg democracy highprov_highimp lowprov_lowimp highprov_lowimp *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  26{txt},{res}   1261{txt}){col 67}= {res}      5.63
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2449
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2404
{txt}{col 51}Root MSE{col 67}= {res}    0.1547

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
highprov_highimp {c |}{col 18}{res}{space 2} .0127736{col 30}{space 2} .0087513{col 41}{space 1}    1.46{col 50}{space 3}0.145{col 58}{space 4}-.0043952{col 71}{space 3} .0299424
{txt}{space 2}lowprov_lowimp {c |}{col 18}{res}{space 2}-.0107866{col 30}{space 2} .0075581{col 41}{space 1}   -1.43{col 50}{space 3}0.154{col 58}{space 4}-.0256145{col 71}{space 3} .0040413
{txt}{space 1}highprov_lowimp {c |}{col 18}{res}{space 2} .0315151{col 30}{space 2} .0079333{col 41}{space 1}    3.97{col 50}{space 3}0.000{col 58}{space 4} .0159511{col 71}{space 3} .0470791
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0237677{col 30}{space 2}  .007342{col 41}{space 1}    3.24{col 50}{space 3}0.001{col 58}{space 4} .0093638{col 71}{space 3} .0381717
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0030635{col 30}{space 2} .0078232{col 41}{space 1}    0.39{col 50}{space 3}0.695{col 58}{space 4}-.0122843{col 71}{space 3} .0184114
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0103095{col 30}{space 2} .0045308{col 41}{space 1}    2.28{col 50}{space 3}0.023{col 58}{space 4} .0014208{col 71}{space 3} .0191982
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0053241{col 30}{space 2} .0109136{col 41}{space 1}    0.49{col 50}{space 3}0.626{col 58}{space 4}-.0160867{col 71}{space 3} .0267349
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0032245{col 30}{space 2} .0052614{col 41}{space 1}    0.61{col 50}{space 3}0.540{col 58}{space 4}-.0070975{col 71}{space 3} .0135466
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0039721{col 30}{space 2} .0061547{col 41}{space 1}    0.65{col 50}{space 3}0.519{col 58}{space 4}-.0081025{col 71}{space 3} .0160467
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0331837{col 30}{space 2} .0090851{col 41}{space 1}    3.65{col 50}{space 3}0.000{col 58}{space 4} .0153602{col 71}{space 3} .0510073
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0373754{col 30}{space 2} .0197779{col 41}{space 1}   -1.89{col 50}{space 3}0.059{col 58}{space 4}-.0761768{col 71}{space 3} .0014259
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0132997{col 30}{space 2} .0167419{col 41}{space 1}    0.79{col 50}{space 3}0.427{col 58}{space 4}-.0195454{col 71}{space 3} .0461448
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2} .0013337{col 30}{space 2} .0235978{col 41}{space 1}    0.06{col 50}{space 3}0.955{col 58}{space 4}-.0449615{col 71}{space 3}  .047629
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0014488{col 30}{space 2} .0223168{col 41}{space 1}   -0.06{col 50}{space 3}0.948{col 58}{space 4}-.0452309{col 71}{space 3} .0423333
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0123515{col 30}{space 2} .0252295{col 41}{space 1}    0.49{col 50}{space 3}0.625{col 58}{space 4} -.037145{col 71}{space 3}  .061848
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0158288{col 30}{space 2} .0254781{col 41}{space 1}    0.62{col 50}{space 3}0.535{col 58}{space 4}-.0341553{col 71}{space 3} .0658129
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0101549{col 30}{space 2} .0239767{col 41}{space 1}   -0.42{col 50}{space 3}0.672{col 58}{space 4}-.0571934{col 71}{space 3} .0368837
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0110888{col 30}{space 2} .0290953{col 41}{space 1}   -0.38{col 50}{space 3}0.703{col 58}{space 4}-.0681693{col 71}{space 3} .0459918
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0065117{col 30}{space 2} .0473546{col 41}{space 1}   -0.14{col 50}{space 3}0.891{col 58}{space 4}-.0994142{col 71}{space 3} .0863908
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0449437{col 30}{space 2} .0235987{col 41}{space 1}   -1.90{col 50}{space 3}0.057{col 58}{space 4}-.0912407{col 71}{space 3} .0013533
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0473957{col 30}{space 2} .0266378{col 41}{space 1}   -1.78{col 50}{space 3}0.075{col 58}{space 4}-.0996551{col 71}{space 3} .0048636
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2}  .027971{col 30}{space 2} .0302281{col 41}{space 1}    0.93{col 50}{space 3}0.355{col 58}{space 4}-.0313319{col 71}{space 3} .0872739
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0214584{col 30}{space 2} .0222444{col 41}{space 1}   -0.96{col 50}{space 3}0.335{col 58}{space 4}-.0650986{col 71}{space 3} .0221818
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}-.0178502{col 30}{space 2} .0090951{col 41}{space 1}   -1.96{col 50}{space 3}0.050{col 58}{space 4}-.0356934{col 71}{space 3}-7.06e-06
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0350145{col 30}{space 2} .0286376{col 41}{space 1}   -1.22{col 50}{space 3}0.222{col 58}{space 4} -.091197{col 71}{space 3} .0211681
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0020496{col 30}{space 2} .0088868{col 41}{space 1}    0.23{col 50}{space 3}0.818{col 58}{space 4}-.0153849{col 71}{space 3} .0194841
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7082747{col 30}{space 2} .0243981{col 41}{space 1}   29.03{col 50}{space 3}0.000{col 58}{space 4} .6604094{col 71}{space 3} .7561401
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}. 
. 
. ************************************************
. **** Table 4. SHARIA AND MILITANCY RESULTS ****
. ************************************************
. 
. // First half of Table 4: Sharia and support for militancy - Direct questions
. 
.         ** Note: Table 4 shows results for all four models, but not does present covariates in the table.
.         ** For a version of this part of the table with covariates presented, see Appendix 3 Table 3.
. 
.         // (1) Basic model + district fixed effects
. 
.         areg support_mil d_provides d_imposes, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}   2{txt},{res}   1185{txt}){col 67}= {res}      1.78
{txt}{col 51}Prob > F{col 67}= {res}    0.1698
{txt}{col 51}R-squared{col 67}= {res}    0.2226
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2184
{txt}{col 51}Root MSE{col 67}= {res}    0.2557

{txt}{ralign 78:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} support_mil{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}d_provides {c |}{col 14}{res}{space 2}-.0300032{col 26}{space 2} .0221033{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}-.0733691{col 67}{space 3} .0133627
{txt}{space 3}d_imposes {c |}{col 14}{res}{space 2} .0158953{col 26}{space 2}  .011051{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0057864{col 67}{space 3}  .037577
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2811302{col 26}{space 2} .0202043{col 37}{space 1}   13.91{col 46}{space 3}0.000{col 54}{space 4}   .24149{col 67}{space 3} .3207704
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    3.19
{txt}{col 13}Prob > F ={res}    0.0743
{txt}
{com}. 
.         // (2) Basic model + district fixed effects + demographic covariates
. 
.         areg support_mil d_provides d_imposes *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}  25{txt},{res}   1185{txt}){col 67}= {res}      5.78
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2518
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2464
{txt}{col 51}Root MSE{col 67}= {res}    0.2511

{txt}{ralign 82:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     support_mil{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2}-.0267074{col 30}{space 2} .0216868{col 41}{space 1}   -1.23{col 50}{space 3}0.218{col 58}{space 4}-.0692562{col 71}{space 3} .0158413
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2} .0292022{col 30}{space 2} .0110574{col 41}{space 1}    2.64{col 50}{space 3}0.008{col 58}{space 4}  .007508{col 71}{space 3} .0508964
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}-.0762746{col 30}{space 2} .0129596{col 41}{space 1}   -5.89{col 50}{space 3}0.000{col 58}{space 4} -.101701{col 71}{space 3}-.0508482
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0057902{col 30}{space 2} .0133439{col 41}{space 1}   -0.43{col 50}{space 3}0.664{col 58}{space 4}-.0319705{col 71}{space 3} .0203902
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0163498{col 30}{space 2}   .00812{col 41}{space 1}   -2.01{col 50}{space 3}0.044{col 58}{space 4}-.0322809{col 71}{space 3}-.0004187
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0236773{col 30}{space 2} .0188273{col 41}{space 1}   -1.26{col 50}{space 3}0.209{col 58}{space 4}-.0606158{col 71}{space 3} .0132612
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0312616{col 30}{space 2} .0091557{col 41}{space 1}    3.41{col 50}{space 3}0.001{col 58}{space 4} .0132984{col 71}{space 3} .0492248
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0124266{col 30}{space 2} .0100386{col 41}{space 1}    1.24{col 50}{space 3}0.216{col 58}{space 4}-.0072687{col 71}{space 3}  .032122
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0433872{col 30}{space 2}  .015528{col 41}{space 1}   -2.79{col 50}{space 3}0.005{col 58}{space 4}-.0738525{col 71}{space 3}-.0129219
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0688692{col 30}{space 2} .0395156{col 41}{space 1}    1.74{col 50}{space 3}0.082{col 58}{space 4}-.0086593{col 71}{space 3} .1463976
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0385938{col 30}{space 2} .0345648{col 41}{space 1}    1.12{col 50}{space 3}0.264{col 58}{space 4}-.0292211{col 71}{space 3} .1064087
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0242711{col 30}{space 2} .0367095{col 41}{space 1}   -0.66{col 50}{space 3}0.509{col 58}{space 4}-.0962941{col 71}{space 3} .0477518
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0032262{col 30}{space 2} .0382164{col 41}{space 1}   -0.08{col 50}{space 3}0.933{col 58}{space 4}-.0782056{col 71}{space 3} .0717533
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.0904854{col 30}{space 2} .0407911{col 41}{space 1}   -2.22{col 50}{space 3}0.027{col 58}{space 4}-.1705162{col 71}{space 3}-.0104547
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0813938{col 30}{space 2}  .040589{col 41}{space 1}   -2.01{col 50}{space 3}0.045{col 58}{space 4}-.1610281{col 71}{space 3}-.0017595
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0158659{col 30}{space 2} .0399259{col 41}{space 1}   -0.40{col 50}{space 3}0.691{col 58}{space 4}-.0941992{col 71}{space 3} .0624674
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0283958{col 30}{space 2} .0449022{col 41}{space 1}   -0.63{col 50}{space 3}0.527{col 58}{space 4}-.1164925{col 71}{space 3}  .059701
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0144368{col 30}{space 2} .0749908{col 41}{space 1}   -0.19{col 50}{space 3}0.847{col 58}{space 4}-.1615664{col 71}{space 3} .1326928
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0356717{col 30}{space 2} .0406925{col 41}{space 1}    0.88{col 50}{space 3}0.381{col 58}{space 4}-.0441657{col 71}{space 3} .1155091
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0202785{col 30}{space 2} .0409204{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4} -.060006{col 71}{space 3} .1005631
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .1689488{col 30}{space 2} .1180413{col 41}{space 1}    1.43{col 50}{space 3}0.153{col 58}{space 4}-.0626444{col 71}{space 3} .4005419
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0738883{col 30}{space 2} .0439492{col 41}{space 1}    1.68{col 50}{space 3}0.093{col 58}{space 4}-.0123387{col 71}{space 3} .1601152
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0786639{col 30}{space 2} .0170019{col 41}{space 1}    4.63{col 50}{space 3}0.000{col 58}{space 4} .0453066{col 71}{space 3} .1120211
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0876136{col 30}{space 2} .0744804{col 41}{space 1}    1.18{col 50}{space 3}0.240{col 58}{space 4}-.0585146{col 71}{space 3} .2337419
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0077091{col 30}{space 2} .0216789{col 41}{space 1}    0.36{col 50}{space 3}0.722{col 58}{space 4}-.0348242{col 71}{space 3} .0502424
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .3072694{col 30}{space 2} .0448503{col 41}{space 1}    6.85{col 50}{space 3}0.000{col 58}{space 4} .2192745{col 71}{space 3} .3952644
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    4.96
{txt}{col 13}Prob > F ={res}    0.0261
{txt}
{com}. 
.         // (3) Basic model + district fixed effects + demographic covariates + religion covariates
. 
.         areg support_mil d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}  34{txt},{res}   1185{txt}){col 67}= {res}      7.78
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2780
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2722
{txt}{col 51}Root MSE{col 67}= {res}    0.2467

{txt}{ralign 82:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     support_mil{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2}-.0348164{col 30}{space 2} .0212383{col 41}{space 1}   -1.64{col 50}{space 3}0.101{col 58}{space 4}-.0764853{col 71}{space 3} .0068524
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2} .0252196{col 30}{space 2} .0107561{col 41}{space 1}    2.34{col 50}{space 3}0.019{col 58}{space 4} .0041166{col 71}{space 3} .0463226
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}-.0797118{col 30}{space 2}  .012697{col 41}{space 1}   -6.28{col 50}{space 3}0.000{col 58}{space 4}-.1046229{col 71}{space 3}-.0548007
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0118577{col 30}{space 2} .0128094{col 41}{space 1}   -0.93{col 50}{space 3}0.355{col 58}{space 4}-.0369892{col 71}{space 3} .0132739
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0149586{col 30}{space 2}  .007889{col 41}{space 1}   -1.90{col 50}{space 3}0.058{col 58}{space 4}-.0304366{col 71}{space 3} .0005194
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0457578{col 30}{space 2} .0187348{col 41}{space 1}   -2.44{col 50}{space 3}0.015{col 58}{space 4} -.082515{col 71}{space 3}-.0090006
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0344714{col 30}{space 2} .0089839{col 41}{space 1}    3.84{col 50}{space 3}0.000{col 58}{space 4} .0168452{col 71}{space 3} .0520975
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0045545{col 30}{space 2}   .00993{col 41}{space 1}    0.46{col 50}{space 3}0.647{col 58}{space 4}-.0149278{col 71}{space 3} .0240368
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0413664{col 30}{space 2} .0149584{col 41}{space 1}   -2.77{col 50}{space 3}0.006{col 58}{space 4}-.0707142{col 71}{space 3}-.0120186
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0463687{col 30}{space 2} .0366178{col 41}{space 1}    1.27{col 50}{space 3}0.206{col 58}{space 4}-.0254743{col 71}{space 3} .1182116
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0482524{col 30}{space 2} .0330356{col 41}{space 1}    1.46{col 50}{space 3}0.144{col 58}{space 4}-.0165625{col 71}{space 3} .1130672
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0242553{col 30}{space 2}  .035476{col 41}{space 1}   -0.68{col 50}{space 3}0.494{col 58}{space 4}-.0938581{col 71}{space 3} .0453475
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0099518{col 30}{space 2} .0363432{col 41}{space 1}   -0.27{col 50}{space 3}0.784{col 58}{space 4} -.081256{col 71}{space 3} .0613523
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.0819232{col 30}{space 2} .0398419{col 41}{space 1}   -2.06{col 50}{space 3}0.040{col 58}{space 4}-.1600918{col 71}{space 3}-.0037546
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0738118{col 30}{space 2} .0389058{col 41}{space 1}   -1.90{col 50}{space 3}0.058{col 58}{space 4}-.1501437{col 71}{space 3}   .00252
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0225706{col 30}{space 2} .0381281{col 41}{space 1}   -0.59{col 50}{space 3}0.554{col 58}{space 4}-.0973766{col 71}{space 3} .0522354
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0245206{col 30}{space 2} .0431576{col 41}{space 1}   -0.57{col 50}{space 3}0.570{col 58}{space 4}-.1091943{col 71}{space 3} .0601532
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2} -.021244{col 30}{space 2} .0761271{col 41}{space 1}   -0.28{col 50}{space 3}0.780{col 58}{space 4}-.1706029{col 71}{space 3} .1281149
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0290747{col 30}{space 2} .0392151{col 41}{space 1}    0.74{col 50}{space 3}0.459{col 58}{space 4}-.0478641{col 71}{space 3} .1060135
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0012991{col 30}{space 2} .0394856{col 41}{space 1}   -0.03{col 50}{space 3}0.974{col 58}{space 4}-.0787685{col 71}{space 3} .0761703
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2}  .127904{col 30}{space 2} .0962056{col 41}{space 1}    1.33{col 50}{space 3}0.184{col 58}{space 4}-.0608483{col 71}{space 3} .3166563
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}  .061098{col 30}{space 2} .0411953{col 41}{space 1}    1.48{col 50}{space 3}0.138{col 58}{space 4}-.0197258{col 71}{space 3} .1419218
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0716948{col 30}{space 2} .0158779{col 41}{space 1}    4.52{col 50}{space 3}0.000{col 58}{space 4} .0405428{col 71}{space 3} .1028469
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0818338{col 30}{space 2} .0723927{col 41}{space 1}    1.13{col 50}{space 3}0.259{col 58}{space 4}-.0601983{col 71}{space 3}  .223866
{txt}houseexpend_miss {c |}{col 18}{res}{space 2}-.0082293{col 30}{space 2} .0195946{col 41}{space 1}   -0.42{col 50}{space 3}0.675{col 58}{space 4}-.0466733{col 71}{space 3} .0302147
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2} .0032151{col 30}{space 2} .0312266{col 41}{space 1}    0.10{col 50}{space 3}0.918{col 58}{space 4}-.0580505{col 71}{space 3} .0644806
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}  .068599{col 30}{space 2} .0316821{col 41}{space 1}    2.17{col 50}{space 3}0.031{col 58}{space 4} .0064396{col 71}{space 3} .1307583
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2} .0336878{col 30}{space 2} .0382825{col 41}{space 1}    0.88{col 50}{space 3}0.379{col 58}{space 4}-.0414214{col 71}{space 3} .1087969
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.1713835{col 30}{space 2} .0425607{col 41}{space 1}   -4.03{col 50}{space 3}0.000{col 58}{space 4}-.2548862{col 71}{space 3}-.0878809
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0045432{col 30}{space 2} .0026001{col 41}{space 1}    1.75{col 50}{space 3}0.081{col 58}{space 4}-.0005582{col 71}{space 3} .0096446
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2} .0647177{col 30}{space 2} .0109648{col 41}{space 1}    5.90{col 50}{space 3}0.000{col 58}{space 4} .0432052{col 71}{space 3} .0862302
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0463475{col 30}{space 2} .0334481{col 41}{space 1}    1.39{col 50}{space 3}0.166{col 58}{space 4}-.0192766{col 71}{space 3} .1119717
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0300082{col 30}{space 2} .0236012{col 41}{space 1}   -1.27{col 50}{space 3}0.204{col 58}{space 4} -.076313{col 71}{space 3} .0162966
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2} .0522197{col 30}{space 2} .0169474{col 41}{space 1}    3.08{col 50}{space 3}0.002{col 58}{space 4} .0189694{col 71}{space 3}   .08547
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .2786909{col 30}{space 2} .0562299{col 41}{space 1}    4.96{col 50}{space 3}0.000{col 58}{space 4} .1683696{col 71}{space 3} .3890122
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    5.97
{txt}{col 13}Prob > F ={res}    0.0147
{txt}
{com}. 
.         // (4) Basic model + tehsil fixed effects + demographic covariates
.         
.         areg support_mil d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a8)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}  34{txt},{res}   1185{txt}){col 67}= {res}      5.54
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3643
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3517
{txt}{col 51}Root MSE{col 67}= {res}    0.2329

{txt}{ralign 82:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     support_mil{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2}-.0315203{col 30}{space 2} .0192043{col 41}{space 1}   -1.64{col 50}{space 3}0.101{col 58}{space 4}-.0691986{col 71}{space 3} .0061579
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2} .0344325{col 30}{space 2} .0101339{col 41}{space 1}    3.40{col 50}{space 3}0.001{col 58}{space 4} .0145501{col 71}{space 3}  .054315
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} -.070909{col 30}{space 2} .0133144{col 41}{space 1}   -5.33{col 50}{space 3}0.000{col 58}{space 4}-.0970315{col 71}{space 3}-.0447866
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0114344{col 30}{space 2} .0136417{col 41}{space 1}   -0.84{col 50}{space 3}0.402{col 58}{space 4}-.0381989{col 71}{space 3} .0153301
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0086499{col 30}{space 2} .0071641{col 41}{space 1}   -1.21{col 50}{space 3}0.228{col 58}{space 4}-.0227057{col 71}{space 3} .0054058
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0419844{col 30}{space 2} .0180821{col 41}{space 1}   -2.32{col 50}{space 3}0.020{col 58}{space 4}-.0774609{col 71}{space 3}-.0065078
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0107534{col 30}{space 2} .0081112{col 41}{space 1}    1.33{col 50}{space 3}0.185{col 58}{space 4}-.0051605{col 71}{space 3} .0266673
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0106952{col 30}{space 2}  .009149{col 41}{space 1}    1.17{col 50}{space 3}0.243{col 58}{space 4}-.0072548{col 71}{space 3} .0286452
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0241806{col 30}{space 2} .0145831{col 41}{space 1}   -1.66{col 50}{space 3}0.098{col 58}{space 4}-.0527922{col 71}{space 3} .0044311
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}  .032474{col 30}{space 2} .0346736{col 41}{space 1}    0.94{col 50}{space 3}0.349{col 58}{space 4}-.0355545{col 71}{space 3} .1005024
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0972228{col 30}{space 2} .0316646{col 41}{space 1}    3.07{col 50}{space 3}0.002{col 58}{space 4} .0350978{col 71}{space 3} .1593478
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0397468{col 30}{space 2} .0312576{col 41}{space 1}   -1.27{col 50}{space 3}0.204{col 58}{space 4}-.1010731{col 71}{space 3} .0215795
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0138945{col 30}{space 2} .0323856{col 41}{space 1}   -0.43{col 50}{space 3}0.668{col 58}{space 4}-.0774339{col 71}{space 3} .0496449
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.1045925{col 30}{space 2} .0357427{col 41}{space 1}   -2.93{col 50}{space 3}0.003{col 58}{space 4}-.1747184{col 71}{space 3}-.0344665
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0931997{col 30}{space 2} .0351662{col 41}{space 1}   -2.65{col 50}{space 3}0.008{col 58}{space 4}-.1621948{col 71}{space 3}-.0242047
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0405271{col 30}{space 2} .0337892{col 41}{space 1}   -1.20{col 50}{space 3}0.231{col 58}{space 4}-.1068204{col 71}{space 3} .0257662
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0228139{col 30}{space 2} .0411559{col 41}{space 1}   -0.55{col 50}{space 3}0.579{col 58}{space 4}-.1035605{col 71}{space 3} .0579328
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0541173{col 30}{space 2} .0686633{col 41}{space 1}   -0.79{col 50}{space 3}0.431{col 58}{space 4}-.1888325{col 71}{space 3}  .080598
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0067305{col 30}{space 2} .0348459{col 41}{space 1}    0.19{col 50}{space 3}0.847{col 58}{space 4} -.061636{col 71}{space 3}  .075097
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0205547{col 30}{space 2} .0393445{col 41}{space 1}    0.52{col 50}{space 3}0.601{col 58}{space 4}-.0566379{col 71}{space 3} .0977474
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0205712{col 30}{space 2} .0534733{col 41}{space 1}    0.38{col 50}{space 3}0.701{col 58}{space 4}-.0843416{col 71}{space 3}  .125484
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0249786{col 30}{space 2} .0358953{col 41}{space 1}    0.70{col 50}{space 3}0.487{col 58}{space 4}-.0454468{col 71}{space 3} .0954041
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0383312{col 30}{space 2} .0148583{col 41}{space 1}    2.58{col 50}{space 3}0.010{col 58}{space 4} .0091797{col 71}{space 3} .0674828
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0826826{col 30}{space 2} .0741746{col 41}{space 1}    1.11{col 50}{space 3}0.265{col 58}{space 4}-.0628455{col 71}{space 3} .2282108
{txt}houseexpend_miss {c |}{col 18}{res}{space 2}-.0199421{col 30}{space 2} .0171778{col 41}{space 1}   -1.16{col 50}{space 3}0.246{col 58}{space 4}-.0536445{col 71}{space 3} .0137602
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2} .0025564{col 30}{space 2} .0324791{col 41}{space 1}    0.08{col 50}{space 3}0.937{col 58}{space 4}-.0611667{col 71}{space 3} .0662794
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}   .03636{col 30}{space 2} .0325366{col 41}{space 1}    1.12{col 50}{space 3}0.264{col 58}{space 4}-.0274759{col 71}{space 3} .1001958
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2} .0223826{col 30}{space 2}  .034893{col 41}{space 1}    0.64{col 50}{space 3}0.521{col 58}{space 4}-.0460763{col 71}{space 3} .0908414
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.1014913{col 30}{space 2} .0423711{col 41}{space 1}   -2.40{col 50}{space 3}0.017{col 58}{space 4}-.1846219{col 71}{space 3}-.0183606
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0043238{col 30}{space 2} .0023315{col 41}{space 1}    1.85{col 50}{space 3}0.064{col 58}{space 4}-.0002506{col 71}{space 3} .0088982
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2} .0626866{col 30}{space 2}  .010596{col 41}{space 1}    5.92{col 50}{space 3}0.000{col 58}{space 4} .0418975{col 71}{space 3} .0834757
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0166288{col 30}{space 2} .0325456{col 41}{space 1}    0.51{col 50}{space 3}0.609{col 58}{space 4}-.0472246{col 71}{space 3} .0804821
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0104475{col 30}{space 2} .0225162{col 41}{space 1}   -0.46{col 50}{space 3}0.643{col 58}{space 4}-.0546236{col 71}{space 3} .0337286
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}  .021099{col 30}{space 2} .0150433{col 41}{space 1}    1.40{col 50}{space 3}0.161{col 58}{space 4}-.0084155{col 71}{space 3} .0506136
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .2718929{col 30}{space 2} .0538079{col 41}{space 1}    5.05{col 50}{space 3}0.000{col 58}{space 4} .1663236{col 71}{space 3} .3774623
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a8 {c |}   absorbed                                     (214 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    9.15
{txt}{col 13}Prob > F ={res}    0.0025
{txt}
{com}. 
. 
. // Second half of Table 4: Sharia and support for militancy - Endorsement experiment
. 
.         ** Note: Table 4 shows results for all four models, but not does present covariates in the table.
.         ** For a version of this part of table with covariates presented, see Appendix 3 Table 4.
. 
.         // Two-way interactions: provides * endorsement treatment group and imposes * endoresement treatment group
.         
.                 // (1) Basic model + district fixed effects
.         
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x', cluster(psu_new) a(a7)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}   5{txt},{res}    951{txt}){col 67}= {res}      4.06
{txt}{col 51}Prob > F{col 67}= {res}    0.0012
{txt}{col 51}R-squared{col 67}= {res}    0.2900
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2851
{txt}{col 51}Root MSE{col 67}= {res}    0.2161

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2}-.0969508{col 39}{space 2} .0448406{col 50}{space 1}   -2.16{col 59}{space 3}0.031{col 67}{space 4}-.1849488{col 80}{space 3}-.0089528
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2}-.0031395{col 39}{space 2} .0382898{col 50}{space 1}   -0.08{col 59}{space 3}0.935{col 67}{space 4}-.0782819{col 80}{space 3} .0720028
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0601971{col 39}{space 2} .0457662{col 50}{space 1}    1.32{col 59}{space 3}0.189{col 67}{space 4}-.0296173{col 80}{space 3} .1500116
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0180719{col 39}{space 2}  .018593{col 50}{space 1}   -0.97{col 59}{space 3}0.331{col 67}{space 4}  -.05456{col 80}{space 3} .0184161
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0598565{col 39}{space 2} .0216721{col 50}{space 1}    2.76{col 59}{space 3}0.006{col 67}{space 4} .0173259{col 80}{space 3} .1023872
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6513418{col 39}{space 2} .0375606{col 50}{space 1}   17.34{col 59}{space 3}0.000{col 67}{space 4} .5776307{col 80}{space 3}  .725053
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a7 {c |}   absorbed                                      (67 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9947
{txt}
{com}. 
.                 // (2) Basic model + district fixed effects + demographic covariates
. 
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x' *_z *_miss, cluster(psu_new) a(a7)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}  28{txt},{res}    951{txt}){col 67}= {res}      3.15
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3016
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2952
{txt}{col 51}Root MSE{col 67}= {res}    0.2146

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2} -.092231{col 39}{space 2} .0449428{col 50}{space 1}   -2.05{col 59}{space 3}0.040{col 67}{space 4}-.1804295{col 80}{space 3}-.0040325
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2} .0020866{col 39}{space 2} .0382156{col 50}{space 1}    0.05{col 59}{space 3}0.956{col 67}{space 4}  -.07291{col 80}{space 3} .0770831
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0529201{col 39}{space 2} .0457273{col 50}{space 1}    1.16{col 59}{space 3}0.247{col 67}{space 4}-.0368179{col 80}{space 3} .1426581
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0204116{col 39}{space 2}  .018433{col 50}{space 1}   -1.11{col 59}{space 3}0.268{col 67}{space 4}-.0565856{col 80}{space 3} .0157625
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0595868{col 39}{space 2} .0213906{col 50}{space 1}    2.79{col 59}{space 3}0.005{col 67}{space 4} .0176086{col 80}{space 3}  .101565
{txt}{space 17}gender_z {c |}{col 27}{res}{space 2} .0170817{col 39}{space 2} .0130795{col 50}{space 1}    1.31{col 59}{space 3}0.192{col 67}{space 4}-.0085864{col 80}{space 3} .0427498
{txt}{space 18}urban_z {c |}{col 27}{res}{space 2}-.0162461{col 39}{space 2} .0133129{col 50}{space 1}   -1.22{col 59}{space 3}0.223{col 67}{space 4}-.0423721{col 80}{space 3} .0098799
{txt}{space 18}headh_z {c |}{col 27}{res}{space 2} -.009822{col 39}{space 2} .0080212{col 50}{space 1}   -1.22{col 59}{space 3}0.221{col 67}{space 4}-.0255632{col 80}{space 3} .0059192
{txt}{space 20}age_z {c |}{col 27}{res}{space 2} .0336703{col 39}{space 2} .0175973{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0008637{col 80}{space 3} .0682042
{txt}{space 19}read_z {c |}{col 27}{res}{space 2}-.0012545{col 39}{space 2} .0104712{col 50}{space 1}   -0.12{col 59}{space 3}0.905{col 67}{space 4}-.0218039{col 80}{space 3} .0192949
{txt}{space 19}math_z {c |}{col 27}{res}{space 2} .0187493{col 39}{space 2} .0104602{col 50}{space 1}    1.79{col 59}{space 3}0.073{col 67}{space 4}-.0017783{col 80}{space 3}  .039277
{txt}{space 19}educ_z {c |}{col 27}{res}{space 2} .0499211{col 39}{space 2} .0149714{col 50}{space 1}    3.33{col 59}{space 3}0.001{col 67}{space 4} .0205403{col 80}{space 3} .0793018
{txt}{space 12}houseexpend_z {c |}{col 27}{res}{space 2} .0643367{col 39}{space 2} .0347951{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0039473{col 80}{space 3} .1326207
{txt}{space 13}assetindex_z {c |}{col 27}{res}{space 2} .0627973{col 39}{space 2} .0352989{col 50}{space 1}    1.78{col 59}{space 3}0.076{col 67}{space 4}-.0064755{col 80}{space 3} .1320702
{txt}{space 13}ethnicity1_z {c |}{col 27}{res}{space 2}-.0007679{col 39}{space 2} .0333028{col 50}{space 1}   -0.02{col 59}{space 3}0.982{col 67}{space 4}-.0661235{col 80}{space 3} .0645876
{txt}{space 13}ethnicity2_z {c |}{col 27}{res}{space 2}-.0099575{col 39}{space 2} .0342113{col 50}{space 1}   -0.29{col 59}{space 3}0.771{col 67}{space 4}-.0770959{col 80}{space 3} .0571808
{txt}{space 13}ethnicity3_z {c |}{col 27}{res}{space 2}-.0045186{col 39}{space 2} .0361834{col 50}{space 1}   -0.12{col 59}{space 3}0.901{col 67}{space 4}-.0755272{col 80}{space 3} .0664899
{txt}{space 13}ethnicity4_z {c |}{col 27}{res}{space 2} .0367945{col 39}{space 2} .0367296{col 50}{space 1}    1.00{col 59}{space 3}0.317{col 67}{space 4}-.0352859{col 80}{space 3} .1088749
{txt}{space 13}ethnicity5_z {c |}{col 27}{res}{space 2}  .020738{col 39}{space 2} .0358658{col 50}{space 1}    0.58{col 59}{space 3}0.563{col 67}{space 4}-.0496472{col 80}{space 3} .0911232
{txt}{space 13}ethnicity6_z {c |}{col 27}{res}{space 2}-.0159115{col 39}{space 2} .0449754{col 50}{space 1}   -0.35{col 59}{space 3}0.724{col 67}{space 4} -.104174{col 80}{space 3}  .072351
{txt}{space 13}ethnicity7_z {c |}{col 27}{res}{space 2}-.0680769{col 39}{space 2} .1250879{col 50}{space 1}   -0.54{col 59}{space 3}0.586{col 67}{space 4}-.3135572{col 80}{space 3} .1774034
{txt}{space 13}ethnicity8_z {c |}{col 27}{res}{space 2} .0189522{col 39}{space 2} .0403225{col 50}{space 1}    0.47{col 59}{space 3}0.638{col 67}{space 4}-.0601793{col 80}{space 3} .0980836
{txt}{space 15}headh_miss {c |}{col 27}{res}{space 2} .0404715{col 39}{space 2} .0482974{col 50}{space 1}    0.84{col 59}{space 3}0.402{col 67}{space 4}-.0543103{col 80}{space 3} .1352534
{txt}{space 17}age_miss {c |}{col 27}{res}{space 2} .0758396{col 39}{space 2} .0558257{col 50}{space 1}    1.36{col 59}{space 3}0.175{col 67}{space 4}-.0337162{col 80}{space 3} .1853954
{txt}{space 16}read_miss {c |}{col 27}{res}{space 2}-.0091632{col 39}{space 2} .0312323{col 50}{space 1}   -0.29{col 59}{space 3}0.769{col 67}{space 4}-.0704553{col 80}{space 3}  .052129
{txt}{space 16}math_miss {c |}{col 27}{res}{space 2} .0166054{col 39}{space 2} .0150968{col 50}{space 1}    1.10{col 59}{space 3}0.272{col 67}{space 4}-.0130215{col 80}{space 3} .0462323
{txt}{space 16}educ_miss {c |}{col 27}{res}{space 2} .0612607{col 39}{space 2} .0307119{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0009897{col 80}{space 3} .1215317
{txt}{space 9}houseexpend_miss {c |}{col 27}{res}{space 2} .0298403{col 39}{space 2} .0165292{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0025977{col 80}{space 3} .0622783
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .5694374{col 39}{space 2}  .053855{col 50}{space 1}   10.57{col 59}{space 3}0.000{col 67}{space 4} .4637489{col 80}{space 3} .6751258
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a7 {c |}   absorbed                                      (67 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8958
{txt}
{com}. 
.                 // (3) Basic model + district fixed effects + demographic covariates + religion covariates
.         
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x' *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}  37{txt},{res}    951{txt}){col 67}= {res}      2.93
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3073
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3003
{txt}{col 51}Root MSE{col 67}= {res}    0.2138

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2}-.0920528{col 39}{space 2} .0444851{col 50}{space 1}   -2.07{col 59}{space 3}0.039{col 67}{space 4} -.179353{col 80}{space 3}-.0047526
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2}-.0006557{col 39}{space 2} .0379482{col 50}{space 1}   -0.02{col 59}{space 3}0.986{col 67}{space 4}-.0751275{col 80}{space 3} .0738161
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0511274{col 39}{space 2} .0453622{col 50}{space 1}    1.13{col 59}{space 3}0.260{col 67}{space 4}-.0378942{col 80}{space 3}  .140149
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0230357{col 39}{space 2} .0181897{col 50}{space 1}   -1.27{col 59}{space 3}0.206{col 67}{space 4}-.0587322{col 80}{space 3} .0126609
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0607882{col 39}{space 2} .0210585{col 50}{space 1}    2.89{col 59}{space 3}0.004{col 67}{space 4} .0194616{col 80}{space 3} .1021147
{txt}{space 17}gender_z {c |}{col 27}{res}{space 2} .0167889{col 39}{space 2} .0132336{col 50}{space 1}    1.27{col 59}{space 3}0.205{col 67}{space 4}-.0091815{col 80}{space 3} .0427593
{txt}{space 18}urban_z {c |}{col 27}{res}{space 2}-.0181348{col 39}{space 2} .0132055{col 50}{space 1}   -1.37{col 59}{space 3}0.170{col 67}{space 4}  -.04405{col 80}{space 3} .0077804
{txt}{space 18}headh_z {c |}{col 27}{res}{space 2}-.0093318{col 39}{space 2} .0080076{col 50}{space 1}   -1.17{col 59}{space 3}0.244{col 67}{space 4}-.0250465{col 80}{space 3} .0063828
{txt}{space 20}age_z {c |}{col 27}{res}{space 2} .0190888{col 39}{space 2} .0177003{col 50}{space 1}    1.08{col 59}{space 3}0.281{col 67}{space 4}-.0156474{col 80}{space 3}  .053825
{txt}{space 19}read_z {c |}{col 27}{res}{space 2} .0008378{col 39}{space 2} .0104263{col 50}{space 1}    0.08{col 59}{space 3}0.936{col 67}{space 4}-.0196235{col 80}{space 3} .0212991
{txt}{space 19}math_z {c |}{col 27}{res}{space 2}  .015374{col 39}{space 2} .0104345{col 50}{space 1}    1.47{col 59}{space 3}0.141{col 67}{space 4}-.0051033{col 80}{space 3} .0358512
{txt}{space 19}educ_z {c |}{col 27}{res}{space 2} .0457245{col 39}{space 2} .0149327{col 50}{space 1}    3.06{col 59}{space 3}0.002{col 67}{space 4} .0164197{col 80}{space 3} .0750294
{txt}{space 12}houseexpend_z {c |}{col 27}{res}{space 2} .0536636{col 39}{space 2} .0343985{col 50}{space 1}    1.56{col 59}{space 3}0.119{col 67}{space 4}-.0138422{col 80}{space 3} .1211693
{txt}{space 13}assetindex_z {c |}{col 27}{res}{space 2}  .069186{col 39}{space 2} .0346914{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0011055{col 80}{space 3} .1372665
{txt}{space 13}ethnicity1_z {c |}{col 27}{res}{space 2}-.0004387{col 39}{space 2} .0330003{col 50}{space 1}   -0.01{col 59}{space 3}0.989{col 67}{space 4}-.0652004{col 80}{space 3} .0643231
{txt}{space 13}ethnicity2_z {c |}{col 27}{res}{space 2}-.0120936{col 39}{space 2} .0338676{col 50}{space 1}   -0.36{col 59}{space 3}0.721{col 67}{space 4}-.0785575{col 80}{space 3} .0543703
{txt}{space 13}ethnicity3_z {c |}{col 27}{res}{space 2} .0001725{col 39}{space 2} .0357428{col 50}{space 1}    0.00{col 59}{space 3}0.996{col 67}{space 4}-.0699713{col 80}{space 3} .0703164
{txt}{space 13}ethnicity4_z {c |}{col 27}{res}{space 2} .0435325{col 39}{space 2} .0359577{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4} -.027033{col 80}{space 3}  .114098
{txt}{space 13}ethnicity5_z {c |}{col 27}{res}{space 2}  .020587{col 39}{space 2} .0354784{col 50}{space 1}    0.58{col 59}{space 3}0.562{col 67}{space 4}-.0490379{col 80}{space 3}  .090212
{txt}{space 13}ethnicity6_z {c |}{col 27}{res}{space 2}-.0125638{col 39}{space 2} .0446291{col 50}{space 1}   -0.28{col 59}{space 3}0.778{col 67}{space 4}-.1001467{col 80}{space 3} .0750191
{txt}{space 13}ethnicity7_z {c |}{col 27}{res}{space 2}-.0678997{col 39}{space 2} .1241788{col 50}{space 1}   -0.55{col 59}{space 3}0.585{col 67}{space 4}-.3115959{col 80}{space 3} .1757965
{txt}{space 13}ethnicity8_z {c |}{col 27}{res}{space 2} .0198138{col 39}{space 2} .0400737{col 50}{space 1}    0.49{col 59}{space 3}0.621{col 67}{space 4}-.0588293{col 80}{space 3} .0984569
{txt}{space 15}headh_miss {c |}{col 27}{res}{space 2} .0240149{col 39}{space 2} .0465192{col 50}{space 1}    0.52{col 59}{space 3}0.606{col 67}{space 4}-.0672773{col 80}{space 3} .1153071
{txt}{space 17}age_miss {c |}{col 27}{res}{space 2} .0746188{col 39}{space 2} .0564465{col 50}{space 1}    1.32{col 59}{space 3}0.187{col 67}{space 4}-.0361553{col 80}{space 3}  .185393
{txt}{space 16}read_miss {c |}{col 27}{res}{space 2}-.0037548{col 39}{space 2} .0312229{col 50}{space 1}   -0.12{col 59}{space 3}0.904{col 67}{space 4}-.0650285{col 80}{space 3} .0575189
{txt}{space 16}math_miss {c |}{col 27}{res}{space 2} .0137901{col 39}{space 2} .0149624{col 50}{space 1}    0.92{col 59}{space 3}0.357{col 67}{space 4}-.0155731{col 80}{space 3} .0431532
{txt}{space 16}educ_miss {c |}{col 27}{res}{space 2} .0604236{col 39}{space 2} .0301044{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0013449{col 80}{space 3} .1195023
{txt}{space 9}houseexpend_miss {c |}{col 27}{res}{space 2} .0195574{col 39}{space 2} .0165742{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4}-.0129689{col 80}{space 3} .0520836
{txt}{space 13}ahlesunnat_r {c |}{col 27}{res}{space 2}-.0336106{col 39}{space 2} .0260665{col 50}{space 1}   -1.29{col 59}{space 3}0.198{col 67}{space 4}-.0847651{col 80}{space 3} .0175439
{txt}{space 15}deobandi_r {c |}{col 27}{res}{space 2}-.0036227{col 39}{space 2} .0264798{col 50}{space 1}   -0.14{col 59}{space 3}0.891{col 67}{space 4}-.0555883{col 80}{space 3} .0483428
{txt}{space 13}ahleehadis_r {c |}{col 27}{res}{space 2}-.0313687{col 39}{space 2} .0294458{col 50}{space 1}   -1.07{col 59}{space 3}0.287{col 67}{space 4} -.089155{col 80}{space 3} .0264176
{txt}{space 19}shia_r {c |}{col 27}{res}{space 2}-.0886572{col 39}{space 2} .0426159{col 50}{space 1}   -2.08{col 59}{space 3}0.038{col 67}{space 4}-.1722892{col 80}{space 3}-.0050251
{txt}{space 18}namaz_r {c |}{col 27}{res}{space 2} .0048386{col 39}{space 2} .0025355{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0001372{col 80}{space 3} .0098144
{txt}{space 14}tah_namaz_r {c |}{col 27}{res}{space 2} .0247504{col 39}{space 2}   .01042{col 50}{space 1}    2.38{col 59}{space 3}0.018{col 67}{space 4} .0043015{col 80}{space 3} .0451993
{txt}{space 9}ahlesunnat_rmiss {c |}{col 27}{res}{space 2} .0163237{col 39}{space 2} .0273813{col 50}{space 1}    0.60{col 59}{space 3}0.551{col 67}{space 4} -.037411{col 80}{space 3} .0700584
{txt}{space 14}namaz_rmiss {c |}{col 27}{res}{space 2} -.012817{col 39}{space 2} .0229706{col 50}{space 1}   -0.56{col 59}{space 3}0.577{col 67}{space 4}-.0578959{col 80}{space 3}  .032262
{txt}{space 10}tah_namaz_rmiss {c |}{col 27}{res}{space 2}-.0051827{col 39}{space 2} .0121659{col 50}{space 1}   -0.43{col 59}{space 3}0.670{col 67}{space 4}-.0290577{col 80}{space 3} .0186924
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .5802669{col 39}{space 2} .0608859{col 50}{space 1}    9.53{col 59}{space 3}0.000{col 67}{space 4} .4607808{col 80}{space 3} .6997531
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a7 {c |}   absorbed                                      (67 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8483
{txt}
{com}. 
.                 // (4) Basic model + tehsil fixed effects + demographic covariates
.         
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x' *_z *_miss *_r *_rmiss, cluster(psu_new) a(a8)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}  37{txt},{res}    951{txt}){col 67}= {res}      2.61
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3734
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3582
{txt}{col 51}Root MSE{col 67}= {res}    0.2048

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2}-.0874392{col 39}{space 2} .0360845{col 50}{space 1}   -2.42{col 59}{space 3}0.016{col 67}{space 4}-.1582537{col 80}{space 3}-.0166247
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2}-.0017043{col 39}{space 2}  .030246{col 50}{space 1}   -0.06{col 59}{space 3}0.955{col 67}{space 4} -.061061{col 80}{space 3} .0576524
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0531848{col 39}{space 2} .0362135{col 50}{space 1}    1.47{col 59}{space 3}0.142{col 67}{space 4}-.0178829{col 80}{space 3} .1242525
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0155788{col 39}{space 2} .0182838{col 50}{space 1}   -0.85{col 59}{space 3}0.394{col 67}{space 4}-.0514601{col 80}{space 3} .0203025
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0576387{col 39}{space 2} .0208435{col 50}{space 1}    2.77{col 59}{space 3}0.006{col 67}{space 4} .0167341{col 80}{space 3} .0985433
{txt}{space 17}gender_z {c |}{col 27}{res}{space 2} .0273446{col 39}{space 2} .0146148{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0013363{col 80}{space 3} .0560255
{txt}{space 18}urban_z {c |}{col 27}{res}{space 2}-.0175922{col 39}{space 2} .0139357{col 50}{space 1}   -1.26{col 59}{space 3}0.207{col 67}{space 4}-.0449404{col 80}{space 3} .0097561
{txt}{space 18}headh_z {c |}{col 27}{res}{space 2}-.0045411{col 39}{space 2}  .007495{col 50}{space 1}   -0.61{col 59}{space 3}0.545{col 67}{space 4}-.0192497{col 80}{space 3} .0101675
{txt}{space 20}age_z {c |}{col 27}{res}{space 2} .0171323{col 39}{space 2} .0167028{col 50}{space 1}    1.03{col 59}{space 3}0.305{col 67}{space 4}-.0156464{col 80}{space 3}  .049911
{txt}{space 19}read_z {c |}{col 27}{res}{space 2}-.0007225{col 39}{space 2} .0102133{col 50}{space 1}   -0.07{col 59}{space 3}0.944{col 67}{space 4}-.0207656{col 80}{space 3} .0193207
{txt}{space 19}math_z {c |}{col 27}{res}{space 2} .0085647{col 39}{space 2} .0101243{col 50}{space 1}    0.85{col 59}{space 3}0.398{col 67}{space 4}-.0113039{col 80}{space 3} .0284332
{txt}{space 19}educ_z {c |}{col 27}{res}{space 2} .0421964{col 39}{space 2}   .01437{col 50}{space 1}    2.94{col 59}{space 3}0.003{col 67}{space 4} .0139958{col 80}{space 3} .0703969
{txt}{space 12}houseexpend_z {c |}{col 27}{res}{space 2}  .030642{col 39}{space 2} .0330898{col 50}{space 1}    0.93{col 59}{space 3}0.355{col 67}{space 4}-.0342955{col 80}{space 3} .0955794
{txt}{space 13}assetindex_z {c |}{col 27}{res}{space 2} .0938475{col 39}{space 2} .0348602{col 50}{space 1}    2.69{col 59}{space 3}0.007{col 67}{space 4} .0254358{col 80}{space 3} .1622592
{txt}{space 13}ethnicity1_z {c |}{col 27}{res}{space 2} -.014583{col 39}{space 2} .0312201{col 50}{space 1}   -0.47{col 59}{space 3}0.641{col 67}{space 4}-.0758513{col 80}{space 3} .0466853
{txt}{space 13}ethnicity2_z {c |}{col 27}{res}{space 2}-.0217207{col 39}{space 2} .0321493{col 50}{space 1}   -0.68{col 59}{space 3}0.499{col 67}{space 4}-.0848124{col 80}{space 3} .0413711
{txt}{space 13}ethnicity3_z {c |}{col 27}{res}{space 2}-.0117146{col 39}{space 2}  .035187{col 50}{space 1}   -0.33{col 59}{space 3}0.739{col 67}{space 4}-.0807677{col 80}{space 3} .0573385
{txt}{space 13}ethnicity4_z {c |}{col 27}{res}{space 2} .0192315{col 39}{space 2} .0332808{col 50}{space 1}    0.58{col 59}{space 3}0.563{col 67}{space 4}-.0460808{col 80}{space 3} .0845439
{txt}{space 13}ethnicity5_z {c |}{col 27}{res}{space 2} .0128515{col 39}{space 2}   .03361{col 50}{space 1}    0.38{col 59}{space 3}0.702{col 67}{space 4}-.0531069{col 80}{space 3} .0788099
{txt}{space 13}ethnicity6_z {c |}{col 27}{res}{space 2}-.0204257{col 39}{space 2} .0427454{col 50}{space 1}   -0.48{col 59}{space 3}0.633{col 67}{space 4} -.104312{col 80}{space 3} .0634605
{txt}{space 13}ethnicity7_z {c |}{col 27}{res}{space 2}-.0920695{col 39}{space 2} .1201202{col 50}{space 1}   -0.77{col 59}{space 3}0.444{col 67}{space 4}-.3278008{col 80}{space 3} .1436618
{txt}{space 13}ethnicity8_z {c |}{col 27}{res}{space 2} -.001508{col 39}{space 2} .0388593{col 50}{space 1}   -0.04{col 59}{space 3}0.969{col 67}{space 4} -.077768{col 80}{space 3}  .074752
{txt}{space 15}headh_miss {c |}{col 27}{res}{space 2} .0212962{col 39}{space 2} .0508649{col 50}{space 1}    0.42{col 59}{space 3}0.676{col 67}{space 4}-.0785243{col 80}{space 3} .1211167
{txt}{space 17}age_miss {c |}{col 27}{res}{space 2} .0799012{col 39}{space 2}  .052447{col 50}{space 1}    1.52{col 59}{space 3}0.128{col 67}{space 4}-.0230239{col 80}{space 3} .1828263
{txt}{space 16}read_miss {c |}{col 27}{res}{space 2}  .007442{col 39}{space 2} .0301478{col 50}{space 1}    0.25{col 59}{space 3}0.805{col 67}{space 4}-.0517219{col 80}{space 3}  .066606
{txt}{space 16}math_miss {c |}{col 27}{res}{space 2} .0182282{col 39}{space 2} .0152589{col 50}{space 1}    1.19{col 59}{space 3}0.233{col 67}{space 4}-.0117169{col 80}{space 3} .0481733
{txt}{space 16}educ_miss {c |}{col 27}{res}{space 2}  .060511{col 39}{space 2} .0297078{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0022106{col 80}{space 3} .1188114
{txt}{space 9}houseexpend_miss {c |}{col 27}{res}{space 2} .0177324{col 39}{space 2}  .016949{col 50}{space 1}    1.05{col 59}{space 3}0.296{col 67}{space 4}-.0155294{col 80}{space 3} .0509942
{txt}{space 13}ahlesunnat_r {c |}{col 27}{res}{space 2}-.0140663{col 39}{space 2} .0279736{col 50}{space 1}   -0.50{col 59}{space 3}0.615{col 67}{space 4}-.0689634{col 80}{space 3} .0408309
{txt}{space 15}deobandi_r {c |}{col 27}{res}{space 2}  .006274{col 39}{space 2} .0282928{col 50}{space 1}    0.22{col 59}{space 3}0.825{col 67}{space 4}-.0492496{col 80}{space 3} .0617976
{txt}{space 13}ahleehadis_r {c |}{col 27}{res}{space 2}-.0127203{col 39}{space 2} .0306318{col 50}{space 1}   -0.42{col 59}{space 3}0.678{col 67}{space 4}-.0728341{col 80}{space 3} .0473935
{txt}{space 19}shia_r {c |}{col 27}{res}{space 2}-.0295451{col 39}{space 2} .0390707{col 50}{space 1}   -0.76{col 59}{space 3}0.450{col 67}{space 4}-.1062199{col 80}{space 3} .0471297
{txt}{space 18}namaz_r {c |}{col 27}{res}{space 2} .0017941{col 39}{space 2} .0023847{col 50}{space 1}    0.75{col 59}{space 3}0.452{col 67}{space 4}-.0028858{col 80}{space 3} .0064739
{txt}{space 14}tah_namaz_r {c |}{col 27}{res}{space 2}  .025003{col 39}{space 2} .0101588{col 50}{space 1}    2.46{col 59}{space 3}0.014{col 67}{space 4} .0050667{col 80}{space 3} .0449394
{txt}{space 9}ahlesunnat_rmiss {c |}{col 27}{res}{space 2} .0113834{col 39}{space 2} .0286637{col 50}{space 1}    0.40{col 59}{space 3}0.691{col 67}{space 4} -.044868{col 80}{space 3} .0676349
{txt}{space 14}namaz_rmiss {c |}{col 27}{res}{space 2}-.0009973{col 39}{space 2} .0228911{col 50}{space 1}   -0.04{col 59}{space 3}0.965{col 67}{space 4}-.0459201{col 80}{space 3} .0439255
{txt}{space 10}tah_namaz_rmiss {c |}{col 27}{res}{space 2} .0077188{col 39}{space 2}  .011916{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0156659{col 80}{space 3} .0311035
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .570811{col 39}{space 2} .0573856{col 50}{space 1}    9.95{col 59}{space 3}0.000{col 67}{space 4}  .458194{col 80}{space 3} .6834279
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a8 {c |}   absorbed                                     (208 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9148
{txt}
{com}.         
.         
. // Binning people - Direct questions
.                 
.         areg support_mil highprov_highimp lowprov_lowimp highprov_lowimp *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}  26{txt},{res}   1185{txt}){col 67}= {res}      5.76
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2527
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2473
{txt}{col 51}Root MSE{col 67}= {res}    0.2509

{txt}{ralign 82:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     support_mil{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
highprov_highimp {c |}{col 18}{res}{space 2}-.0002902{col 30}{space 2} .0156044{col 41}{space 1}   -0.02{col 50}{space 3}0.985{col 58}{space 4}-.0309055{col 71}{space 3} .0303252
{txt}{space 2}lowprov_lowimp {c |}{col 18}{res}{space 2}-.0235676{col 30}{space 2} .0148659{col 41}{space 1}   -1.59{col 50}{space 3}0.113{col 58}{space 4}-.0527341{col 71}{space 3} .0055989
{txt}{space 1}highprov_lowimp {c |}{col 18}{res}{space 2}-.0385787{col 30}{space 2}  .015917{col 41}{space 1}   -2.42{col 50}{space 3}0.016{col 58}{space 4}-.0698073{col 71}{space 3}-.0073501
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}-.0761782{col 30}{space 2} .0128804{col 41}{space 1}   -5.91{col 50}{space 3}0.000{col 58}{space 4}-.1014491{col 71}{space 3}-.0509073
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0048342{col 30}{space 2} .0133286{col 41}{space 1}   -0.36{col 50}{space 3}0.717{col 58}{space 4}-.0309845{col 71}{space 3}  .021316
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0161998{col 30}{space 2} .0081446{col 41}{space 1}   -1.99{col 50}{space 3}0.047{col 58}{space 4}-.0321792{col 71}{space 3}-.0002203
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0236585{col 30}{space 2} .0188049{col 41}{space 1}   -1.26{col 50}{space 3}0.209{col 58}{space 4}-.0605531{col 71}{space 3} .0132361
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0307545{col 30}{space 2}  .009117{col 41}{space 1}    3.37{col 50}{space 3}0.001{col 58}{space 4} .0128672{col 71}{space 3} .0486419
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0123521{col 30}{space 2} .0100174{col 41}{space 1}    1.23{col 50}{space 3}0.218{col 58}{space 4}-.0073017{col 71}{space 3} .0320058
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} -.041073{col 30}{space 2}  .015375{col 41}{space 1}   -2.67{col 50}{space 3}0.008{col 58}{space 4}-.0712382{col 71}{space 3}-.0109078
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0677632{col 30}{space 2} .0393744{col 41}{space 1}    1.72{col 50}{space 3}0.086{col 58}{space 4} -.009488{col 71}{space 3} .1450145
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0387082{col 30}{space 2} .0345306{col 41}{space 1}    1.12{col 50}{space 3}0.263{col 58}{space 4}-.0290398{col 71}{space 3} .1064561
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0254762{col 30}{space 2} .0368257{col 41}{space 1}   -0.69{col 50}{space 3}0.489{col 58}{space 4}-.0977271{col 71}{space 3} .0467746
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0038684{col 30}{space 2} .0383018{col 41}{space 1}   -0.10{col 50}{space 3}0.920{col 58}{space 4}-.0790152{col 71}{space 3} .0712784
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.0918292{col 30}{space 2} .0409137{col 41}{space 1}   -2.24{col 50}{space 3}0.025{col 58}{space 4}-.1721006{col 71}{space 3}-.0115578
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0819351{col 30}{space 2} .0406943{col 41}{space 1}   -2.01{col 50}{space 3}0.044{col 58}{space 4}-.1617759{col 71}{space 3}-.0020943
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0181442{col 30}{space 2} .0399793{col 41}{space 1}   -0.45{col 50}{space 3}0.650{col 58}{space 4}-.0965824{col 71}{space 3}  .060294
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0267839{col 30}{space 2} .0450212{col 41}{space 1}   -0.59{col 50}{space 3}0.552{col 58}{space 4} -.115114{col 71}{space 3} .0615461
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0151737{col 30}{space 2} .0753004{col 41}{space 1}   -0.20{col 50}{space 3}0.840{col 58}{space 4}-.1629105{col 71}{space 3} .1325632
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}   .03677{col 30}{space 2} .0407174{col 41}{space 1}    0.90{col 50}{space 3}0.367{col 58}{space 4}-.0431162{col 71}{space 3} .1166563
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0202005{col 30}{space 2} .0409629{col 41}{space 1}    0.49{col 50}{space 3}0.622{col 58}{space 4}-.0601674{col 71}{space 3} .1005685
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .1699271{col 30}{space 2} .1175553{col 41}{space 1}    1.45{col 50}{space 3}0.149{col 58}{space 4}-.0607127{col 71}{space 3} .4005668
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}   .07391{col 30}{space 2} .0438346{col 41}{space 1}    1.69{col 50}{space 3}0.092{col 58}{space 4} -.012092{col 71}{space 3}  .159912
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0789984{col 30}{space 2} .0168955{col 41}{space 1}    4.68{col 50}{space 3}0.000{col 58}{space 4}   .04585{col 71}{space 3} .1121468
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}  .086738{col 30}{space 2} .0751355{col 41}{space 1}    1.15{col 50}{space 3}0.249{col 58}{space 4}-.0606754{col 71}{space 3} .2341515
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0077791{col 30}{space 2} .0217315{col 41}{space 1}    0.36{col 50}{space 3}0.720{col 58}{space 4}-.0348574{col 71}{space 3} .0504156
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}  .321115{col 30}{space 2} .0432092{col 41}{space 1}    7.43{col 50}{space 3}0.000{col 58}{space 4} .2363399{col 71}{space 3}   .40589
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}. 
. 
. 
. *************************************************
. ***************** PAPER FIGURES *****************
. *************************************************
. 
. 
. ***************************************
. **** FIGURE 1: SUPPORT FOR SHARIA ****
. ***************************************
. 
. // Descriptives: Shari'a indices (note: code for Figure 1 in R file)
. 
.         // Shari`a as providing
.         
.         summ d_services d_noncorrupt d_security d_justice d_provides

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 2}d_services {c |}{res}     15829    .8570977    .3499842          0          1
{txt}d_noncorrupt {c |}{res}     15875    .9023622    .2968336          0          1
{txt}{space 2}d_security {c |}{res}     15676    .9103088     .285748          0          1
{txt}{space 3}d_justice {c |}{res}     15749    .9042479    .2942603          0          1
{txt}{space 2}d_provides {c |}{res}     16145    .8920512    .2101591          0          1
{txt}
{com}.         
.         // Shari`a as imposing
. 
.         summ d_punish d_restrict d_imposes

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 4}d_punish {c |}{res}     15523    .6033628    .4892152          0          1
{txt}{space 2}d_restrict {c |}{res}     15383    .4373659    .4960776          0          1
{txt}{space 3}d_imposes {c |}{res}     15773    .5210169    .4021943          0          1
{txt}
{com}. 
. 
. // Support for the different conceptualizations of Shari'a 
.         // (Note: these regressions are not part of Figure 1, but some p-values from the imposes regression
.         // appear in the section "Defining a Shari`a Based Government," in the 4th paragraph describing Figure 1)
. 
.         areg d_provides *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     16092
{txt}{col 51}F({res}  32{txt},{res}   1265{txt}){col 67}= {res}      3.97
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.1906
{txt}{col 51}Adj R-squared{col 67}= {res}    0.1857
{txt}{col 51}Root MSE{col 67}= {res}    0.1898

{txt}{ralign 82:(Std. Err. adjusted for {res:1266} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}      d_provides{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}gender_z {c |}{col 18}{res}{space 2}-.0032342{col 30}{space 2} .0084099{col 41}{space 1}   -0.38{col 50}{space 3}0.701{col 58}{space 4} -.019733{col 71}{space 3} .0132647
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0179729{col 30}{space 2} .0088083{col 41}{space 1}   -2.04{col 50}{space 3}0.042{col 58}{space 4}-.0352533{col 71}{space 3}-.0006925
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0019511{col 30}{space 2} .0059068{col 41}{space 1}    0.33{col 50}{space 3}0.741{col 58}{space 4} -.009637{col 71}{space 3} .0135393
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0041835{col 30}{space 2}   .01277{col 41}{space 1}    0.33{col 50}{space 3}0.743{col 58}{space 4}-.0208692{col 71}{space 3} .0292361
{txt}{space 10}read_z {c |}{col 18}{res}{space 2}-.0155647{col 30}{space 2} .0060739{col 41}{space 1}   -2.56{col 50}{space 3}0.011{col 58}{space 4}-.0274807{col 71}{space 3}-.0036487
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0176575{col 30}{space 2}  .006875{col 41}{space 1}    2.57{col 50}{space 3}0.010{col 58}{space 4} .0041698{col 71}{space 3} .0311452
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0025946{col 30}{space 2} .0118362{col 41}{space 1}   -0.22{col 50}{space 3}0.827{col 58}{space 4}-.0258154{col 71}{space 3} .0206262
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0159054{col 30}{space 2} .0240692{col 41}{space 1}    0.66{col 50}{space 3}0.509{col 58}{space 4}-.0313144{col 71}{space 3} .0631253
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2}-.0137506{col 30}{space 2} .0213767{col 41}{space 1}   -0.64{col 50}{space 3}0.520{col 58}{space 4}-.0556884{col 71}{space 3} .0281871
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0237227{col 30}{space 2} .0233343{col 41}{space 1}   -1.02{col 50}{space 3}0.310{col 58}{space 4}-.0695009{col 71}{space 3} .0220554
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0103537{col 30}{space 2} .0232887{col 41}{space 1}   -0.44{col 50}{space 3}0.657{col 58}{space 4}-.0560423{col 71}{space 3}  .035335
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0154079{col 30}{space 2} .0256011{col 41}{space 1}    0.60{col 50}{space 3}0.547{col 58}{space 4}-.0348174{col 71}{space 3} .0656332
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0234118{col 30}{space 2} .0271762{col 41}{space 1}   -0.86{col 50}{space 3}0.389{col 58}{space 4}-.0767271{col 71}{space 3} .0299035
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0114404{col 30}{space 2}  .024755{col 41}{space 1}   -0.46{col 50}{space 3}0.644{col 58}{space 4}-.0600057{col 71}{space 3} .0371249
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2} .0239514{col 30}{space 2} .0328143{col 41}{space 1}    0.73{col 50}{space 3}0.466{col 58}{space 4}-.0404251{col 71}{space 3} .0883279
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0178408{col 30}{space 2} .0427047{col 41}{space 1}   -0.42{col 50}{space 3}0.676{col 58}{space 4}-.1016206{col 71}{space 3}  .065939
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0100801{col 30}{space 2} .0244533{col 41}{space 1}   -0.41{col 50}{space 3}0.680{col 58}{space 4}-.0580536{col 71}{space 3} .0378934
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0033425{col 30}{space 2} .0248521{col 41}{space 1}   -0.13{col 50}{space 3}0.893{col 58}{space 4}-.0520983{col 71}{space 3} .0454134
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2}-.0056187{col 30}{space 2}  .037075{col 41}{space 1}   -0.15{col 50}{space 3}0.880{col 58}{space 4} -.078354{col 71}{space 3} .0671167
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0483078{col 30}{space 2} .0225727{col 41}{space 1}   -2.14{col 50}{space 3}0.033{col 58}{space 4}-.0925917{col 71}{space 3}-.0040238
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}-.0070685{col 30}{space 2} .0096636{col 41}{space 1}   -0.73{col 50}{space 3}0.465{col 58}{space 4} -.026027{col 71}{space 3}   .01189
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0520971{col 30}{space 2} .0199399{col 41}{space 1}    2.61{col 50}{space 3}0.009{col 58}{space 4} .0129783{col 71}{space 3}  .091216
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0279901{col 30}{space 2} .0114254{col 41}{space 1}    2.45{col 50}{space 3}0.014{col 58}{space 4} .0055753{col 71}{space 3} .0504048
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2}-.0021327{col 30}{space 2} .0205318{col 41}{space 1}   -0.10{col 50}{space 3}0.917{col 58}{space 4}-.0424128{col 71}{space 3} .0381474
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2} .0235626{col 30}{space 2} .0213559{col 41}{space 1}    1.10{col 50}{space 3}0.270{col 58}{space 4}-.0183343{col 71}{space 3} .0654595
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2} .0266898{col 30}{space 2}  .022167{col 41}{space 1}    1.20{col 50}{space 3}0.229{col 58}{space 4}-.0167982{col 71}{space 3} .0701779
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2} .0123284{col 30}{space 2}   .02331{col 41}{space 1}    0.53{col 50}{space 3}0.597{col 58}{space 4}-.0334022{col 71}{space 3} .0580589
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0120403{col 30}{space 2} .0017555{col 41}{space 1}    6.86{col 50}{space 3}0.000{col 58}{space 4} .0085961{col 71}{space 3} .0154844
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2}-.0097443{col 30}{space 2} .0073729{col 41}{space 1}   -1.32{col 50}{space 3}0.187{col 58}{space 4}-.0242088{col 71}{space 3} .0047203
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0346282{col 30}{space 2} .0209062{col 41}{space 1}    1.66{col 50}{space 3}0.098{col 58}{space 4}-.0063865{col 71}{space 3} .0756429
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2} .0151269{col 30}{space 2} .0149448{col 41}{space 1}    1.01{col 50}{space 3}0.312{col 58}{space 4}-.0141923{col 71}{space 3} .0444462
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2} .0055223{col 30}{space 2} .0090261{col 41}{space 1}    0.61{col 50}{space 3}0.541{col 58}{space 4}-.0121854{col 71}{space 3}   .02323
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .8539373{col 30}{space 2} .0338394{col 41}{space 1}   25.23{col 50}{space 3}0.000{col 58}{space 4} .7875497{col 71}{space 3} .9203249
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         areg d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15721
{txt}{col 51}F({res}  32{txt},{res}   1261{txt}){col 67}= {res}      5.17
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2241
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2193
{txt}{col 51}Root MSE{col 67}= {res}    0.3554

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       d_imposes{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}gender_z {c |}{col 18}{res}{space 2} .1013862{col 30}{space 2} .0163197{col 41}{space 1}    6.21{col 50}{space 3}0.000{col 58}{space 4} .0693694{col 71}{space 3}  .133403
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0418862{col 30}{space 2}  .016023{col 41}{space 1}   -2.61{col 50}{space 3}0.009{col 58}{space 4}-.0733208{col 71}{space 3}-.0104516
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0026526{col 30}{space 2}  .010102{col 41}{space 1}   -0.26{col 50}{space 3}0.793{col 58}{space 4}-.0224712{col 71}{space 3}  .017166
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0255393{col 30}{space 2} .0239496{col 41}{space 1}   -1.07{col 50}{space 3}0.286{col 58}{space 4}-.0725248{col 71}{space 3} .0214462
{txt}{space 10}read_z {c |}{col 18}{res}{space 2}-.0156433{col 30}{space 2}  .012774{col 41}{space 1}   -1.22{col 50}{space 3}0.221{col 58}{space 4}-.0407039{col 71}{space 3} .0094173
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0213895{col 30}{space 2} .0128306{col 41}{space 1}    1.67{col 50}{space 3}0.096{col 58}{space 4}-.0037822{col 71}{space 3} .0465611
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0521181{col 30}{space 2} .0213063{col 41}{space 1}   -2.45{col 50}{space 3}0.015{col 58}{space 4}-.0939178{col 71}{space 3}-.0103184
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} -.052165{col 30}{space 2} .0463061{col 41}{space 1}   -1.13{col 50}{space 3}0.260{col 58}{space 4}-.1430105{col 71}{space 3} .0386805
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2}-.0398664{col 30}{space 2} .0375242{col 41}{space 1}   -1.06{col 50}{space 3}0.288{col 58}{space 4}-.1134831{col 71}{space 3} .0337504
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2} .0189218{col 30}{space 2} .0425478{col 41}{space 1}    0.44{col 50}{space 3}0.657{col 58}{space 4}-.0645504{col 71}{space 3}  .102394
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}  .062312{col 30}{space 2} .0402693{col 41}{space 1}    1.55{col 50}{space 3}0.122{col 58}{space 4}-.0166903{col 71}{space 3} .1413143
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0435481{col 30}{space 2} .0479613{col 41}{space 1}    0.91{col 50}{space 3}0.364{col 58}{space 4}-.0505447{col 71}{space 3} .1376409
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}  .046483{col 30}{space 2} .0488339{col 41}{space 1}    0.95{col 50}{space 3}0.341{col 58}{space 4}-.0493216{col 71}{space 3} .1422877
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2} .1154439{col 30}{space 2} .0499205{col 41}{space 1}    2.31{col 50}{space 3}0.021{col 58}{space 4} .0175075{col 71}{space 3} .2133802
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0150568{col 30}{space 2} .0524466{col 41}{space 1}   -0.29{col 50}{space 3}0.774{col 58}{space 4}-.1179489{col 71}{space 3} .0878354
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2} .0106717{col 30}{space 2} .1086821{col 41}{space 1}    0.10{col 50}{space 3}0.922{col 58}{space 4} -.202546{col 71}{space 3} .2238894
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0038271{col 30}{space 2} .0474459{col 41}{space 1}   -0.08{col 50}{space 3}0.936{col 58}{space 4}-.0969086{col 71}{space 3} .0892545
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0726251{col 30}{space 2}  .063171{col 41}{space 1}    1.15{col 50}{space 3}0.251{col 58}{space 4}-.0513068{col 71}{space 3} .1965571
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2}-.0595475{col 30}{space 2} .0872395{col 41}{space 1}   -0.68{col 50}{space 3}0.495{col 58}{space 4}-.2306981{col 71}{space 3} .1116031
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0275155{col 30}{space 2} .0447657{col 41}{space 1}    0.61{col 50}{space 3}0.539{col 58}{space 4}-.0603078{col 71}{space 3} .1153389
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}  .066379{col 30}{space 2} .0191339{col 41}{space 1}    3.47{col 50}{space 3}0.001{col 58}{space 4} .0288411{col 71}{space 3} .1039169
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .1056108{col 30}{space 2} .0354005{col 41}{space 1}    2.98{col 50}{space 3}0.003{col 58}{space 4} .0361604{col 71}{space 3} .1750612
{txt}houseexpend_miss {c |}{col 18}{res}{space 2}-.0161811{col 30}{space 2} .0203315{col 41}{space 1}   -0.80{col 50}{space 3}0.426{col 58}{space 4}-.0560683{col 71}{space 3} .0237062
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2} .0397864{col 30}{space 2} .0356849{col 41}{space 1}    1.11{col 50}{space 3}0.265{col 58}{space 4} -.030222{col 71}{space 3} .1097947
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2} .0104502{col 30}{space 2} .0353123{col 41}{space 1}    0.30{col 50}{space 3}0.767{col 58}{space 4}-.0588272{col 71}{space 3} .0797275
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2} .0367241{col 30}{space 2} .0378006{col 41}{space 1}    0.97{col 50}{space 3}0.331{col 58}{space 4}-.0374349{col 71}{space 3} .1108832
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.0203901{col 30}{space 2} .0425357{col 41}{space 1}   -0.48{col 50}{space 3}0.632{col 58}{space 4}-.1038386{col 71}{space 3} .0630584
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} -.001015{col 30}{space 2} .0035421{col 41}{space 1}   -0.29{col 50}{space 3}0.774{col 58}{space 4}-.0079641{col 71}{space 3} .0059341
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2} .0746539{col 30}{space 2} .0132248{col 41}{space 1}    5.64{col 50}{space 3}0.000{col 58}{space 4} .0487089{col 71}{space 3}  .100599
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0178252{col 30}{space 2} .0397714{col 41}{space 1}    0.45{col 50}{space 3}0.654{col 58}{space 4}-.0602002{col 71}{space 3} .0958506
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0642487{col 30}{space 2} .0292245{col 41}{space 1}   -2.20{col 50}{space 3}0.028{col 58}{space 4}-.1215826{col 71}{space 3}-.0069147
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}-.0161587{col 30}{space 2} .0193318{col 41}{space 1}   -0.84{col 50}{space 3}0.403{col 58}{space 4}-.0540847{col 71}{space 3} .0217674
{txt}{space 11}_cons {c |}{col 18}{res}{space 2}  .446496{col 30}{space 2} .0561711{col 41}{space 1}    7.95{col 50}{space 3}0.000{col 58}{space 4}  .336297{col 71}{space 3} .5566951
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}. 
. 
. ******************************************
. **** FIGURE 2: SUPPORT FOR DEMOCRACY ****
. ******************************************
.         
. // Support for Democracy (note: code for Figure 2 in R file)
. 
.         summ democracy

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 3}democracy {c |}{res}     16127    .7544294    .1785926          0          1
{txt}
{com}. 
.         
. ******************************************
. **** FIGURE 3: SUPPORT FOR MILITANCY ****
. ******************************************
.         
. // Support for Militancy - Direct Questions (note: code for Figure 3 in R file)
.         
.         summ support_ssp   // ssp is an abbreviation for Sipah-e-Sahaba Pakistan

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 1}support_ssp {c |}{res}     13490    .3004633    .3383477          0          1
{txt}
{com}.         summ support_atal   // atal is an abbreviation for the Afghan Taliban

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
support_atal {c |}{res}     14109    .2456765    .3253628          0          1
{txt}
{com}.         summ support_mil   // mil is an abbreviation for Militant Group

{txt}    Variable {c |}       Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 56}
{space 1}support_mil {c |}{res}     13047    .2699854    .2955222          0          1
{txt}
{com}. 
. // Support for Militancy - Endorsement Experiment (note: code for Figure 3 in R file)
. 
.         areg policy_pref_b treat_b, cluster(psu_new) a(a7)   // SSP

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}      5286
{txt}{col 51}F({res}   1{txt},{res}    474{txt}){col 67}= {res}      0.21
{txt}{col 51}Prob > F{col 67}= {res}    0.6477
{txt}{col 51}R-squared{col 67}= {res}    0.2696
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2602
{txt}{col 51}Root MSE{col 67}= {res}    0.2107

{txt}{ralign 78:(Std. Err. adjusted for {res:475} clusters in psu_new)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}policy_pre~b{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_b {c |}{col 14}{res}{space 2}-.0067771{col 26}{space 2} .0148221{col 37}{space 1}   -0.46{col 46}{space 3}0.648{col 54}{space 4}-.0359023{col 67}{space 3}  .022348
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6400685{col 26}{space 2} .0096476{col 37}{space 1}   66.34{col 46}{space 3}0.000{col 54}{space 4} .6211112{col 67}{space 3} .6590258
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          a7 {c |}   absorbed                                      (67 categories)

{com}.         areg policy_pref_c treat_c, cluster(psu_new) a(a7)   // Pakistan Taliban

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}      5244
{txt}{col 51}F({res}   1{txt},{res}    475{txt}){col 67}= {res}      0.85
{txt}{col 51}Prob > F{col 67}= {res}    0.3564
{txt}{col 51}R-squared{col 67}= {res}    0.2753
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2660
{txt}{col 51}Root MSE{col 67}= {res}    0.2101

{txt}{ralign 78:(Std. Err. adjusted for {res:476} clusters in psu_new)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}policy_pre~c{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_c {c |}{col 14}{res}{space 2}-.0141625{col 26}{space 2} .0153403{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.0443058{col 67}{space 3} .0159808
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6401869{col 26}{space 2} .0097071{col 37}{space 1}   65.95{col 46}{space 3}0.000{col 54}{space 4} .6211128{col 67}{space 3}  .659261
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          a7 {c |}   absorbed                                      (67 categories)

{com}.         areg policy_pref_d treat_d, cluster(psu_new) a(a7)   // Afghan Tabliban

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}      5207
{txt}{col 51}F({res}   1{txt},{res}    483{txt}){col 67}= {res}      0.29
{txt}{col 51}Prob > F{col 67}= {res}    0.5891
{txt}{col 51}R-squared{col 67}= {res}    0.3586
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3503
{txt}{col 51}Root MSE{col 67}= {res}    0.2046

{txt}{ralign 78:(Std. Err. adjusted for {res:484} clusters in psu_new)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}policy_pre~d{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}treat_d {c |}{col 14}{res}{space 2}-.0078354{col 26}{space 2} .0144973{col 37}{space 1}   -0.54{col 46}{space 3}0.589{col 54}{space 4} -.036321{col 67}{space 3} .0206502
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .6318246{col 26}{space 2} .0093403{col 37}{space 1}   67.64{col 46}{space 3}0.000{col 54}{space 4} .6134719{col 67}{space 3} .6501773
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          a7 {c |}   absorbed                                      (67 categories)

{com}.         areg policy_pref_militancy treat_militancy, cluster(psu_new) a(a7)  // All three groups combined

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10485
{txt}{col 51}F({res}   1{txt},{res}    952{txt}){col 67}= {res}      1.18
{txt}{col 51}Prob > F{col 67}= {res}    0.2785
{txt}{col 51}R-squared{col 67}= {res}    0.2853
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2807
{txt}{col 51}Root MSE{col 67}= {res}    0.2164

{txt}{ralign 81:(Std. Err. adjusted for {res:953} clusters in psu_new)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}policy_pref_m~y{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_militancy {c |}{col 17}{res}{space 2}-.0125709{col 29}{space 2} .0115928{col 40}{space 1}   -1.08{col 49}{space 3}0.278{col 57}{space 4}-.0353213{col 70}{space 3} .0101794
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .6393939{col 29}{space 2} .0096033{col 40}{space 1}   66.58{col 49}{space 3}0.000{col 57}{space 4} .6205477{col 70}{space 3}   .65824
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             a7 {c |}   absorbed                                      (67 categories)

{com}.         
. 
. 
. ************************************************************
. ********** ADDITIONAL APPENDIX TABLES AND FIGURES **********
. ************************************************************
. 
. 
. *********************************
. **** APPENDIX 1: TABLES 1-3 ****
. *********************************
. 
. // Factor Analysis of Shari'a Questions
. 
.         // Note: this code produces the values found in Appendix 1 Tables 1-3.
. 
.         factor d_services d_noncorrupt d_security d_justice d_punish d_restrict, pcf
{txt}(obs=14759)

Factor analysis/correlation{col 52}Number of obs    = {res}   14759
{col 5}{txt}Method: principal-component factors{col 52}Retained factors = {res}       2
{col 5}{txt}Rotation: (unrotated){col 52}Number of params = {res}      11

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.89263      0.57777            0.3154       0.3154
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}      1.31486      0.43034            0.2191       0.5346
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}      0.88451      0.18741            0.1474       0.6820
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}      0.69710      0.04975            0.1162       0.7982
{txt}{col 5}{ralign 11:Factor5}  {c |}{res}      0.64735      0.08380            0.1079       0.9061
{txt}{col 5}{ralign 11:Factor6}  {c |}{res}      0.56356            .            0.0939       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}15{txt}) ={res} 8561.67{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{space 1}{ralign 8:Factor2}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:d_services}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4869}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1414}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7429}}}{space 1}
{space 4}{space 0}{ralign 12:d_noncorrupt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7579}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0669}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4211}}}{space 1}
{space 4}{space 0}{ralign 12:d_security}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7285}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0413}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4675}}}{space 1}
{space 4}{space 0}{ralign 12:d_justice}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7345}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0097}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4605}}}{space 1}
{space 4}{space 0}{ralign 12:d_punish}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0849}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8003}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3523}}}{space 1}
{space 4}{space 0}{ralign 12:d_restrict}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0607}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8050}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3482}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{c  BT}{hline 14}

{com}.         rotate

{txt}Factor analysis/correlation{col 52}Number of obs    = {res}   14759
{col 5}{txt}Method: principal-component factors{col 52}Retained factors = {res}       2
{col 5}{txt}Rotation: orthogonal varimax (Kaiser off){col 52}Number of params = {res}      11

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Variance}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      1.89219      0.57690            0.3154       0.3154
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}      1.31529            .            0.2192       0.5346
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}15{txt}) ={res} 8561.67{txt} Prob>chi2 ={res} 0.0000

{txt}Rotated factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{space 1}{ralign 8:Factor2}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:d_services}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.4829}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.1548}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.7429}}}{space 1}
{space 4}{space 0}{ralign 12:d_noncorrupt}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7595}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0461}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4211}}}{space 1}
{space 4}{space 0}{ralign 12:d_security}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7294}}}{space 1}{space 1}{ralign 8:{res:{sf: -0.0213}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4675}}}{space 1}
{space 4}{space 0}{ralign 12:d_justice}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7345}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.0105}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4605}}}{space 1}
{space 4}{space 0}{ralign 12:d_punish}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.0629}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8023}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3523}}}{space 1}
{space 4}{space 0}{ralign 12:d_restrict}{space 1}{c |}{space 1}{ralign 8:{res:{sf: -0.0828}}}{space 1}{space 1}{ralign 8:{res:{sf:  0.8031}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.3482}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{hline 10}{c  BT}{hline 14}

Factor rotation matrix

{space 4}{hline 13}{c  TT}{hline 9}{hline 9}
{space 4}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 7:Factor1}{space 1}{space 1}{ralign 7:Factor2}{space 1}
{space 4}{hline 13}{c   +}{hline 9}{hline 9}
{space 4}{space 0}{ralign 12:Factor1}{space 1}{c |}{space 1}{ralign 7:{res:{sf: 0.9996}}}{space 1}{space 1}{ralign 7:{res:{sf: 0.0275}}}{space 1}
{space 4}{space 0}{ralign 12:Factor2}{space 1}{c |}{space 1}{ralign 7:{res:{sf:-0.0275}}}{space 1}{space 1}{ralign 7:{res:{sf: 0.9996}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 9}{hline 9}

{com}. 
. 
. ******************************
. **** APPENDIX 1: TABLE 4 ****
. ******************************
.         
. // Binning Respondents by Scores on Shari`a Indices 
. 
.         ta prov_imp

   {txt}prov_imp {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      3,107       19.71       19.71
{txt}          2 {c |}{res}      7,215       45.77       65.47
{txt}          3 {c |}{res}      1,238        7.85       73.33
{txt}          4 {c |}{res}      4,205       26.67      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}     15,765      100.00
{txt}
{com}. 
. 
. *********************************
. **** APPENDIX 2: TABLES 1-2 ****
. *********************************
. 
. // Factor Analysis of Democracy Questions
. 
.         // Note: this code produces the values found in Appendix 2 Tables 1-2.
. 
.         factor q1030_resc q1050_resc q1070_resc q1090_resc q1110_resc q1130_resc, pcf
{txt}(obs=14700)

Factor analysis/correlation{col 52}Number of obs    = {res}   14700
{col 5}{txt}Method: principal-component factors{col 52}Retained factors = {res}       1
{col 5}{txt}Rotation: (unrotated){col 52}Number of params = {res}       6

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Eigenvalue}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.55190      1.58023            0.4253       0.4253
{txt}{col 5}{ralign 11:Factor2}  {c |}{res}      0.97167      0.25673            0.1619       0.5873
{txt}{col 5}{ralign 11:Factor3}  {c |}{res}      0.71494      0.04275            0.1192       0.7064
{txt}{col 5}{ralign 11:Factor4}  {c |}{res}      0.67219      0.11047            0.1120       0.8185
{txt}{col 5}{ralign 11:Factor5}  {c |}{res}      0.56172      0.03415            0.0936       0.9121
{txt}{col 5}{ralign 11:Factor6}  {c |}{res}      0.52757            .            0.0879       1.0000
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}15{txt}) ={res} 1.5e+04{txt} Prob>chi2 ={res} 0.0000

{txt}Factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:q1030_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6639}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5592}}}{space 1}
{space 4}{space 0}{ralign 12:q1050_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7489}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4391}}}{space 1}
{space 4}{space 0}{ralign 12:q1070_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7425}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4486}}}{space 1}
{space 4}{space 0}{ralign 12:q1090_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6862}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5292}}}{space 1}
{space 4}{space 0}{ralign 12:q1110_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6663}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5560}}}{space 1}
{space 4}{space 0}{ralign 12:q1130_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2899}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9160}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

{com}.         rotate

{txt}Factor analysis/correlation{col 52}Number of obs    = {res}   14700
{col 5}{txt}Method: principal-component factors{col 52}Retained factors = {res}       1
{col 5}{txt}Rotation: orthogonal varimax (Kaiser off){col 52}Number of params = {res}       6

{txt}{col 5}{hline 13}{c TT}{hline 60}
{col 5}     Factor  {c |} {ralign 12:Variance}   Difference        Proportion   Cumulative
{col 5}{hline 13}{c +}{hline 60}
{col 5}{ralign 11:Factor1}  {c |}{res}      2.55190            .            0.4253       0.4253
{txt}{col 5}{hline 13}{c BT}{hline 60}
{col 5}LR test: independent vs. saturated:  chi2({res}15{txt}) ={res} 1.5e+04{txt} Prob>chi2 ={res} 0.0000

{txt}Rotated factor loadings (pattern matrix) and unique variances

{space 4}{hline 13}{c  TT}{hline 10}{c  TT}{hline 14}
{space 4}{space 0}{ralign 12:Variable}{space 1}{c |}{space 1}{ralign 8:Factor1}{space 1}{c |}{space 1}{ralign 12:Uniqueness}{space 1}
{space 4}{hline 13}{c   +}{hline 10}{c   +}{hline 14}
{space 4}{space 0}{ralign 12:q1030_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6639}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5592}}}{space 1}
{space 4}{space 0}{ralign 12:q1050_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7489}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4391}}}{space 1}
{space 4}{space 0}{ralign 12:q1070_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.7425}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.4486}}}{space 1}
{space 4}{space 0}{ralign 12:q1090_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6862}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5292}}}{space 1}
{space 4}{space 0}{ralign 12:q1110_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.6663}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.5560}}}{space 1}
{space 4}{space 0}{ralign 12:q1130_resc}{space 1}{c |}{space 1}{ralign 8:{res:{sf:  0.2899}}}{space 1}{c |}{space 1}{center 12:{res:{sf:    0.9160}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 10}{c  BT}{hline 14}

Factor rotation matrix

{space 4}{hline 13}{c  TT}{hline 9}
{space 4}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 7:Factor1}{space 1}
{space 4}{hline 13}{c   +}{hline 9}
{space 4}{space 0}{ralign 12:Factor1}{space 1}{c |}{space 1}{ralign 7:{res:{sf: 1.0000}}}{space 1}
{space 4}{hline 13}{c  BT}{hline 9}

{com}. 
. 
. ******************************
. **** APPENDIX 3: TABLE 1 ****
. ******************************
. 
.         // (1) Basic model + district fixed effects
. 
.         areg policy_pref_militancy treat_militancy, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10485
{txt}{col 51}F({res}   1{txt},{res}    952{txt}){col 67}= {res}      1.18
{txt}{col 51}Prob > F{col 67}= {res}    0.2785
{txt}{col 51}R-squared{col 67}= {res}    0.2853
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2807
{txt}{col 51}Root MSE{col 67}= {res}    0.2164

{txt}{ralign 81:(Std. Err. adjusted for {res:953} clusters in psu_new)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}policy_pref_m~y{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      t{col 49}   P>|t|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
treat_militancy {c |}{col 17}{res}{space 2}-.0125709{col 29}{space 2} .0115928{col 40}{space 1}   -1.08{col 49}{space 3}0.278{col 57}{space 4}-.0353213{col 70}{space 3} .0101794
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .6393939{col 29}{space 2} .0096033{col 40}{space 1}   66.58{col 49}{space 3}0.000{col 57}{space 4} .6205477{col 70}{space 3}   .65824
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
             a7 {c |}   absorbed                                      (67 categories)

{com}. 
.         // (2) Basic model + district fixed effects + demographic covariates
. 
.         areg policy_pref_militancy treat_militancy *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10485
{txt}{col 51}F({res}  24{txt},{res}    952{txt}){col 67}= {res}      2.99
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2974
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2913
{txt}{col 51}Root MSE{col 67}= {res}    0.2148

{txt}{ralign 82:(Std. Err. adjusted for {res:953} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}policy_pref_mi~y{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}treat_militancy {c |}{col 18}{res}{space 2}-.0148062{col 30}{space 2} .0114513{col 41}{space 1}   -1.29{col 50}{space 3}0.196{col 58}{space 4}-.0372789{col 71}{space 3} .0076666
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0212221{col 30}{space 2} .0130234{col 41}{space 1}    1.63{col 50}{space 3}0.104{col 58}{space 4}-.0043359{col 71}{space 3}   .04678
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0175015{col 30}{space 2} .0133696{col 41}{space 1}   -1.31{col 50}{space 3}0.191{col 58}{space 4}-.0437389{col 71}{space 3} .0087359
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0108228{col 30}{space 2} .0079474{col 41}{space 1}   -1.36{col 50}{space 3}0.174{col 58}{space 4}-.0264193{col 71}{space 3} .0047737
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0352146{col 30}{space 2} .0174329{col 41}{space 1}    2.02{col 50}{space 3}0.044{col 58}{space 4} .0010033{col 71}{space 3}  .069426
{txt}{space 10}read_z {c |}{col 18}{res}{space 2}-.0020964{col 30}{space 2} .0104486{col 41}{space 1}   -0.20{col 50}{space 3}0.841{col 58}{space 4}-.0226014{col 71}{space 3} .0184086
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0195946{col 30}{space 2} .0104708{col 41}{space 1}    1.87{col 50}{space 3}0.062{col 58}{space 4}-.0009538{col 71}{space 3} .0401431
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0490394{col 30}{space 2}  .015028{col 41}{space 1}    3.26{col 50}{space 3}0.001{col 58}{space 4} .0195476{col 71}{space 3} .0785312
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}  .065481{col 30}{space 2} .0347824{col 41}{space 1}    1.88{col 50}{space 3}0.060{col 58}{space 4}-.0027779{col 71}{space 3}   .13374
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0593329{col 30}{space 2} .0353242{col 41}{space 1}    1.68{col 50}{space 3}0.093{col 58}{space 4}-.0099894{col 71}{space 3} .1286553
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2} .0017902{col 30}{space 2} .0324372{col 41}{space 1}    0.06{col 50}{space 3}0.956{col 58}{space 4}-.0618664{col 71}{space 3} .0654468
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0066289{col 30}{space 2} .0330682{col 41}{space 1}   -0.20{col 50}{space 3}0.841{col 58}{space 4} -.071524{col 71}{space 3} .0582661
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.0023968{col 30}{space 2} .0352431{col 41}{space 1}   -0.07{col 50}{space 3}0.946{col 58}{space 4}  -.07156{col 71}{space 3} .0667665
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0401704{col 30}{space 2} .0357508{col 41}{space 1}    1.12{col 50}{space 3}0.261{col 58}{space 4} -.029989{col 71}{space 3} .1103298
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2} .0236779{col 30}{space 2} .0349352{col 41}{space 1}    0.68{col 50}{space 3}0.498{col 58}{space 4} -.044881{col 71}{space 3} .0922367
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0137006{col 30}{space 2}  .044594{col 41}{space 1}   -0.31{col 50}{space 3}0.759{col 58}{space 4}-.1012145{col 71}{space 3} .0738133
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0710083{col 30}{space 2} .1274108{col 41}{space 1}   -0.56{col 50}{space 3}0.577{col 58}{space 4}-.3210467{col 71}{space 3} .1790301
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0197825{col 30}{space 2} .0394466{col 41}{space 1}    0.50{col 50}{space 3}0.616{col 58}{space 4}-.0576297{col 71}{space 3} .0971948
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0436992{col 30}{space 2} .0476033{col 41}{space 1}    0.92{col 50}{space 3}0.359{col 58}{space 4}-.0497202{col 71}{space 3} .1371187
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0889265{col 30}{space 2} .0520562{col 41}{space 1}    1.71{col 50}{space 3}0.088{col 58}{space 4}-.0132317{col 71}{space 3} .1910847
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0120102{col 30}{space 2}  .032079{col 41}{space 1}   -0.37{col 50}{space 3}0.708{col 58}{space 4} -.074964{col 71}{space 3} .0509435
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0193603{col 30}{space 2} .0144254{col 41}{space 1}    1.34{col 50}{space 3}0.180{col 58}{space 4}-.0089489{col 71}{space 3} .0476695
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0590521{col 30}{space 2} .0301341{col 41}{space 1}    1.96{col 50}{space 3}0.050{col 58}{space 4}-.0000848{col 71}{space 3} .1181889
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0311182{col 30}{space 2} .0163324{col 41}{space 1}    1.91{col 50}{space 3}0.057{col 58}{space 4}-.0009334{col 71}{space 3} .0631698
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .5578297{col 30}{space 2} .0384063{col 41}{space 1}   14.52{col 50}{space 3}0.000{col 58}{space 4}  .482459{col 71}{space 3} .6332005
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}. 
.         // (3) Basic model + district fixed effects + demographic covariates + religion covariates
. 
.         areg policy_pref_militancy treat_militancy *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10485
{txt}{col 51}F({res}  33{txt},{res}    952{txt}){col 67}= {res}      2.86
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3032
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2966
{txt}{col 51}Root MSE{col 67}= {res}    0.2140

{txt}{ralign 82:(Std. Err. adjusted for {res:953} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}policy_pref_mi~y{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}treat_militancy {c |}{col 18}{res}{space 2}-.0158307{col 30}{space 2} .0113459{col 41}{space 1}   -1.40{col 50}{space 3}0.163{col 58}{space 4}-.0380966{col 71}{space 3} .0064352
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}  .020684{col 30}{space 2} .0131563{col 41}{space 1}    1.57{col 50}{space 3}0.116{col 58}{space 4}-.0051347{col 71}{space 3} .0465027
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0191263{col 30}{space 2} .0132577{col 41}{space 1}   -1.44{col 50}{space 3}0.149{col 58}{space 4}-.0451441{col 71}{space 3} .0068914
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0100464{col 30}{space 2} .0079351{col 41}{space 1}   -1.27{col 50}{space 3}0.206{col 58}{space 4}-.0256186{col 71}{space 3} .0055259
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0208153{col 30}{space 2} .0175141{col 41}{space 1}    1.19{col 50}{space 3}0.235{col 58}{space 4}-.0135553{col 71}{space 3} .0551859
{txt}{space 10}read_z {c |}{col 18}{res}{space 2}-.0001243{col 30}{space 2} .0103873{col 41}{space 1}   -0.01{col 50}{space 3}0.990{col 58}{space 4} -.020509{col 71}{space 3} .0202603
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0161306{col 30}{space 2} .0104437{col 41}{space 1}    1.54{col 50}{space 3}0.123{col 58}{space 4}-.0043646{col 71}{space 3} .0366259
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0452678{col 30}{space 2} .0149756{col 41}{space 1}    3.02{col 50}{space 3}0.003{col 58}{space 4} .0158788{col 71}{space 3} .0746567
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0527271{col 30}{space 2} .0344147{col 41}{space 1}    1.53{col 50}{space 3}0.126{col 58}{space 4}-.0148103{col 71}{space 3} .1202644
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0663212{col 30}{space 2} .0346961{col 41}{space 1}    1.91{col 50}{space 3}0.056{col 58}{space 4}-.0017685{col 71}{space 3} .1344109
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2} .0010957{col 30}{space 2} .0322918{col 41}{space 1}    0.03{col 50}{space 3}0.973{col 58}{space 4}-.0622756{col 71}{space 3} .0644671
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0100833{col 30}{space 2} .0329141{col 41}{space 1}   -0.31{col 50}{space 3}0.759{col 58}{space 4}-.0746759{col 71}{space 3} .0545093
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0016049{col 30}{space 2} .0350134{col 41}{space 1}    0.05{col 50}{space 3}0.963{col 58}{space 4}-.0671076{col 71}{space 3} .0703173
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0459637{col 30}{space 2} .0351276{col 41}{space 1}    1.31{col 50}{space 3}0.191{col 58}{space 4}-.0229728{col 71}{space 3} .1149002
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2} .0223755{col 30}{space 2} .0347174{col 41}{space 1}    0.64{col 50}{space 3}0.519{col 58}{space 4}-.0457559{col 71}{space 3}  .090507
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0113133{col 30}{space 2} .0443256{col 41}{space 1}   -0.26{col 50}{space 3}0.799{col 58}{space 4}-.0983005{col 71}{space 3} .0756739
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0717522{col 30}{space 2} .1265217{col 41}{space 1}   -0.57{col 50}{space 3}0.571{col 58}{space 4} -.320046{col 71}{space 3} .1765415
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0198746{col 30}{space 2} .0393213{col 41}{space 1}    0.51{col 50}{space 3}0.613{col 58}{space 4}-.0572918{col 71}{space 3}  .097041
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0296222{col 30}{space 2}  .045873{col 41}{space 1}    0.65{col 50}{space 3}0.519{col 58}{space 4}-.0604017{col 71}{space 3} .1196461
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0823791{col 30}{space 2} .0518902{col 41}{space 1}    1.59{col 50}{space 3}0.113{col 58}{space 4}-.0194533{col 71}{space 3} .1842114
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0106317{col 30}{space 2} .0316973{col 41}{space 1}   -0.34{col 50}{space 3}0.737{col 58}{space 4}-.0728364{col 71}{space 3}  .051573
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0158269{col 30}{space 2} .0143413{col 41}{space 1}    1.10{col 50}{space 3}0.270{col 58}{space 4}-.0123172{col 71}{space 3}  .043971
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0596396{col 30}{space 2}  .029504{col 41}{space 1}    2.02{col 50}{space 3}0.044{col 58}{space 4} .0017393{col 71}{space 3} .1175399
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0216359{col 30}{space 2} .0163253{col 41}{space 1}    1.33{col 50}{space 3}0.185{col 58}{space 4}-.0104019{col 71}{space 3} .0536736
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2}-.0351039{col 30}{space 2} .0251288{col 41}{space 1}   -1.40{col 50}{space 3}0.163{col 58}{space 4}-.0844181{col 71}{space 3} .0142103
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2} -.005739{col 30}{space 2} .0257284{col 41}{space 1}   -0.22{col 50}{space 3}0.824{col 58}{space 4}-.0562298{col 71}{space 3} .0447519
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2}-.0345278{col 30}{space 2} .0286284{col 41}{space 1}   -1.21{col 50}{space 3}0.228{col 58}{space 4}-.0907099{col 71}{space 3} .0216544
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.0854362{col 30}{space 2} .0413559{col 41}{space 1}   -2.07{col 50}{space 3}0.039{col 58}{space 4}-.1665956{col 71}{space 3}-.0042769
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0049577{col 30}{space 2} .0025264{col 41}{space 1}    1.96{col 50}{space 3}0.050{col 58}{space 4}-2.76e-07{col 71}{space 3} .0099158
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2} .0253634{col 30}{space 2} .0104246{col 41}{space 1}    2.43{col 50}{space 3}0.015{col 58}{space 4} .0049057{col 71}{space 3} .0458212
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0159406{col 30}{space 2} .0262905{col 41}{space 1}    0.61{col 50}{space 3}0.544{col 58}{space 4}-.0356534{col 71}{space 3} .0675347
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0155626{col 30}{space 2} .0216775{col 41}{space 1}   -0.72{col 50}{space 3}0.473{col 58}{space 4}-.0581038{col 71}{space 3} .0269786
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}-.0063724{col 30}{space 2} .0117458{col 41}{space 1}   -0.54{col 50}{space 3}0.588{col 58}{space 4} -.029423{col 71}{space 3} .0166783
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .5672956{col 30}{space 2} .0484579{col 41}{space 1}   11.71{col 50}{space 3}0.000{col 58}{space 4}  .472199{col 71}{space 3} .6623922
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}. 
.         // (4) Basic model + tehsil fixed effects + demographic covariates
. 
.         areg policy_pref_militancy treat_militancy *_z *_miss *_r *_rmiss, cluster(psu_new) a(a8)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10485
{txt}{col 51}F({res}  33{txt},{res}    952{txt}){col 67}= {res}      2.39
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3685
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3537
{txt}{col 51}Root MSE{col 67}= {res}    0.2051

{txt}{ralign 82:(Std. Err. adjusted for {res:953} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}policy_pref_mi~y{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}treat_militancy {c |}{col 18}{res}{space 2}-.0102347{col 30}{space 2} .0115094{col 41}{space 1}   -0.89{col 50}{space 3}0.374{col 58}{space 4}-.0328214{col 71}{space 3}  .012352
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0312019{col 30}{space 2} .0146226{col 41}{space 1}    2.13{col 50}{space 3}0.033{col 58}{space 4} .0025057{col 71}{space 3} .0598981
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0188633{col 30}{space 2} .0140347{col 41}{space 1}   -1.34{col 50}{space 3}0.179{col 58}{space 4}-.0464057{col 71}{space 3} .0086792
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0047879{col 30}{space 2}  .007433{col 41}{space 1}   -0.64{col 50}{space 3}0.520{col 58}{space 4}-.0193749{col 71}{space 3} .0097992
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0164651{col 30}{space 2} .0165924{col 41}{space 1}    0.99{col 50}{space 3}0.321{col 58}{space 4}-.0160968{col 71}{space 3} .0490271
{txt}{space 10}read_z {c |}{col 18}{res}{space 2}-.0014419{col 30}{space 2} .0101979{col 41}{space 1}   -0.14{col 50}{space 3}0.888{col 58}{space 4}-.0214548{col 71}{space 3} .0185711
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0098558{col 30}{space 2} .0101418{col 41}{space 1}    0.97{col 50}{space 3}0.331{col 58}{space 4} -.010047{col 71}{space 3} .0297586
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0404784{col 30}{space 2} .0144065{col 41}{space 1}    2.81{col 50}{space 3}0.005{col 58}{space 4} .0122063{col 71}{space 3} .0687504
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0334923{col 30}{space 2} .0332117{col 41}{space 1}    1.01{col 50}{space 3}0.313{col 58}{space 4}-.0316843{col 71}{space 3} .0986689
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0885239{col 30}{space 2} .0348111{col 41}{space 1}    2.54{col 50}{space 3}0.011{col 58}{space 4} .0202085{col 71}{space 3} .1568393
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0123601{col 30}{space 2} .0304807{col 41}{space 1}   -0.41{col 50}{space 3}0.685{col 58}{space 4}-.0721772{col 71}{space 3}  .047457
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0167525{col 30}{space 2} .0312158{col 41}{space 1}   -0.54{col 50}{space 3}0.592{col 58}{space 4}-.0780123{col 71}{space 3} .0445073
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.0087191{col 30}{space 2} .0345204{col 41}{space 1}   -0.25{col 50}{space 3}0.801{col 58}{space 4}-.0764639{col 71}{space 3} .0590257
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0246398{col 30}{space 2}  .032515{col 41}{space 1}    0.76{col 50}{space 3}0.449{col 58}{space 4}-.0391697{col 71}{space 3} .0884492
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}  .017175{col 30}{space 2} .0328037{col 41}{space 1}    0.52{col 50}{space 3}0.601{col 58}{space 4}-.0472008{col 71}{space 3} .0815509
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0152987{col 30}{space 2} .0427163{col 41}{space 1}   -0.36{col 50}{space 3}0.720{col 58}{space 4}-.0991276{col 71}{space 3} .0685302
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2} -.092909{col 30}{space 2} .1233047{col 41}{space 1}   -0.75{col 50}{space 3}0.451{col 58}{space 4}-.3348894{col 71}{space 3} .1490714
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}  .001469{col 30}{space 2}  .038116{col 41}{space 1}    0.04{col 50}{space 3}0.969{col 58}{space 4}-.0733321{col 71}{space 3} .0762701
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0244125{col 30}{space 2} .0494276{col 41}{space 1}    0.49{col 50}{space 3}0.621{col 58}{space 4}-.0725871{col 71}{space 3} .1214122
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0904798{col 30}{space 2} .0482059{col 41}{space 1}    1.88{col 50}{space 3}0.061{col 58}{space 4}-.0041222{col 71}{space 3} .1850818
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0067611{col 30}{space 2} .0294792{col 41}{space 1}    0.23{col 50}{space 3}0.819{col 58}{space 4}-.0510906{col 71}{space 3} .0646129
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0216555{col 30}{space 2} .0146896{col 41}{space 1}    1.47{col 50}{space 3}0.141{col 58}{space 4}-.0071724{col 71}{space 3} .0504833
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0619546{col 30}{space 2}  .029382{col 41}{space 1}    2.11{col 50}{space 3}0.035{col 58}{space 4} .0042936{col 71}{space 3} .1196156
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0190667{col 30}{space 2} .0169231{col 41}{space 1}    1.13{col 50}{space 3}0.260{col 58}{space 4}-.0141442{col 71}{space 3} .0522777
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2}-.0170512{col 30}{space 2} .0270192{col 41}{space 1}   -0.63{col 50}{space 3}0.528{col 58}{space 4}-.0700753{col 71}{space 3} .0359729
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2} .0026364{col 30}{space 2} .0275867{col 41}{space 1}    0.10{col 50}{space 3}0.924{col 58}{space 4}-.0515013{col 71}{space 3} .0567741
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2}-.0179661{col 30}{space 2} .0297798{col 41}{space 1}   -0.60{col 50}{space 3}0.546{col 58}{space 4}-.0764077{col 71}{space 3} .0404755
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.0338089{col 30}{space 2} .0386689{col 41}{space 1}   -0.87{col 50}{space 3}0.382{col 58}{space 4}-.1096951{col 71}{space 3} .0420773
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0019452{col 30}{space 2} .0023674{col 41}{space 1}    0.82{col 50}{space 3}0.411{col 58}{space 4}-.0027008{col 71}{space 3} .0065912
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2} .0269354{col 30}{space 2} .0101588{col 41}{space 1}    2.65{col 50}{space 3}0.008{col 58}{space 4} .0069991{col 71}{space 3} .0468717
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0100152{col 30}{space 2} .0276427{col 41}{space 1}    0.36{col 50}{space 3}0.717{col 58}{space 4}-.0442324{col 71}{space 3} .0642628
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0097373{col 30}{space 2}  .021678{col 41}{space 1}   -0.45{col 50}{space 3}0.653{col 58}{space 4}-.0522795{col 71}{space 3} .0328049
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2} .0103562{col 30}{space 2} .0116651{col 41}{space 1}    0.89{col 50}{space 3}0.375{col 58}{space 4}-.0125361{col 71}{space 3} .0332485
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .5598506{col 30}{space 2} .0489625{col 41}{space 1}   11.43{col 50}{space 3}0.000{col 58}{space 4} .4637636{col 71}{space 3} .6559375
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a8 {c |}   absorbed                                     (208 categories)

{com}. 
. 
. ******************************
. **** APPENDIX 3: TABLE 2 ****
. ******************************
.         
.         // (1) Basic model + district fixed effects
. 
.         areg democracy d_provides d_imposes, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}   2{txt},{res}   1261{txt}){col 67}= {res}     10.37
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2251
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2217
{txt}{col 51}Root MSE{col 67}= {res}    0.1566

{txt}{ralign 78:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}   democracy{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}d_provides {c |}{col 14}{res}{space 2}  .059061{col 26}{space 2} .0137812{col 37}{space 1}    4.29{col 46}{space 3}0.000{col 54}{space 4} .0320243{col 67}{space 3} .0860977
{txt}{space 3}d_imposes {c |}{col 14}{res}{space 2}-.0084533{col 26}{space 2} .0067735{col 37}{space 1}   -1.25{col 46}{space 3}0.212{col 54}{space 4}-.0217419{col 67}{space 3} .0048353
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .7070727{col 26}{space 2} .0129838{col 37}{space 1}   54.46{col 46}{space 3}0.000{col 54}{space 4} .6816005{col 67}{space 3} .7325449
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   20.43
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
.         // (2) Basic model + district fixed effects + demographic covariates
. 
.         areg democracy d_provides d_imposes *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  25{txt},{res}   1261{txt}){col 67}= {res}      5.42
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2429
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2384
{txt}{col 51}Root MSE{col 67}= {res}    0.1549

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2} .0597663{col 30}{space 2} .0135497{col 41}{space 1}    4.41{col 50}{space 3}0.000{col 58}{space 4} .0331839{col 71}{space 3} .0863487
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2}-.0114359{col 30}{space 2} .0066793{col 41}{space 1}   -1.71{col 50}{space 3}0.087{col 58}{space 4}-.0245395{col 71}{space 3} .0016678
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0247431{col 30}{space 2}  .007398{col 41}{space 1}    3.34{col 50}{space 3}0.001{col 58}{space 4} .0102294{col 71}{space 3} .0392567
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0036384{col 30}{space 2} .0078475{col 41}{space 1}    0.46{col 50}{space 3}0.643{col 58}{space 4}-.0117571{col 71}{space 3} .0190339
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0102617{col 30}{space 2} .0045356{col 41}{space 1}    2.26{col 50}{space 3}0.024{col 58}{space 4} .0013635{col 71}{space 3} .0191599
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0057817{col 30}{space 2} .0109367{col 41}{space 1}    0.53{col 50}{space 3}0.597{col 58}{space 4}-.0156743{col 71}{space 3} .0272378
{txt}{space 10}read_z {c |}{col 18}{res}{space 2}  .002461{col 30}{space 2} .0052821{col 41}{space 1}    0.47{col 50}{space 3}0.641{col 58}{space 4}-.0079016{col 71}{space 3} .0128236
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0040957{col 30}{space 2} .0061145{col 41}{space 1}    0.67{col 50}{space 3}0.503{col 58}{space 4}   -.0079{col 71}{space 3} .0160914
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0350038{col 30}{space 2} .0091106{col 41}{space 1}    3.84{col 50}{space 3}0.000{col 58}{space 4} .0171303{col 71}{space 3} .0528774
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0367849{col 30}{space 2}  .019879{col 41}{space 1}   -1.85{col 50}{space 3}0.064{col 58}{space 4}-.0757846{col 71}{space 3} .0022147
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0126285{col 30}{space 2} .0168707{col 41}{space 1}    0.75{col 50}{space 3}0.454{col 58}{space 4}-.0204692{col 71}{space 3} .0457261
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0004958{col 30}{space 2} .0236829{col 41}{space 1}   -0.02{col 50}{space 3}0.983{col 58}{space 4}-.0469579{col 71}{space 3} .0459664
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0031259{col 30}{space 2} .0223491{col 41}{space 1}   -0.14{col 50}{space 3}0.889{col 58}{space 4}-.0469714{col 71}{space 3} .0407196
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0102829{col 30}{space 2} .0252244{col 41}{space 1}    0.41{col 50}{space 3}0.684{col 58}{space 4}-.0392034{col 71}{space 3} .0597693
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0143401{col 30}{space 2} .0255336{col 41}{space 1}    0.56{col 50}{space 3}0.574{col 58}{space 4}-.0357529{col 71}{space 3} .0644331
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0137703{col 30}{space 2} .0239432{col 41}{space 1}   -0.58{col 50}{space 3}0.565{col 58}{space 4}-.0607432{col 71}{space 3} .0332025
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0111138{col 30}{space 2} .0289684{col 41}{space 1}   -0.38{col 50}{space 3}0.701{col 58}{space 4}-.0679455{col 71}{space 3} .0457178
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0088597{col 30}{space 2} .0471328{col 41}{space 1}   -0.19{col 50}{space 3}0.851{col 58}{space 4} -.101327{col 71}{space 3} .0836075
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0464054{col 30}{space 2} .0236467{col 41}{space 1}   -1.96{col 50}{space 3}0.050{col 58}{space 4}-.0927966{col 71}{space 3}-.0000142
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0493697{col 30}{space 2} .0266222{col 41}{space 1}   -1.85{col 50}{space 3}0.064{col 58}{space 4}-.1015984{col 71}{space 3} .0028591
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0302863{col 30}{space 2} .0301007{col 41}{space 1}    1.01{col 50}{space 3}0.315{col 58}{space 4}-.0287667{col 71}{space 3} .0893393
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0201296{col 30}{space 2} .0219795{col 41}{space 1}   -0.92{col 50}{space 3}0.360{col 58}{space 4}  -.06325{col 71}{space 3} .0229907
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}-.0191829{col 30}{space 2} .0090733{col 41}{space 1}   -2.11{col 50}{space 3}0.035{col 58}{space 4}-.0369834{col 71}{space 3}-.0013824
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0345429{col 30}{space 2} .0285803{col 41}{space 1}   -1.21{col 50}{space 3}0.227{col 58}{space 4}-.0906131{col 71}{space 3} .0215273
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0018107{col 30}{space 2} .0089471{col 41}{space 1}    0.20{col 50}{space 3}0.840{col 58}{space 4}-.0157422{col 71}{space 3} .0193637
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .6776184{col 30}{space 2} .0268591{col 41}{space 1}   25.23{col 50}{space 3}0.000{col 58}{space 4} .6249251{col 71}{space 3} .7303118
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   23.54
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
.         // (3) Basic model + district fixed effects + demographic covariates + religion covariates
. 
.         areg democracy d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  34{txt},{res}   1261{txt}){col 67}= {res}      5.49
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2500
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2452
{txt}{col 51}Root MSE{col 67}= {res}    0.1542

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2} .0561518{col 30}{space 2} .0132488{col 41}{space 1}    4.24{col 50}{space 3}0.000{col 58}{space 4} .0301597{col 71}{space 3} .0821439
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2}-.0094978{col 30}{space 2} .0066125{col 41}{space 1}   -1.44{col 50}{space 3}0.151{col 58}{space 4}-.0224705{col 71}{space 3} .0034748
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}  .024488{col 30}{space 2} .0073624{col 41}{space 1}    3.33{col 50}{space 3}0.001{col 58}{space 4} .0100441{col 71}{space 3} .0389319
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0028934{col 30}{space 2} .0077544{col 41}{space 1}    0.37{col 50}{space 3}0.709{col 58}{space 4}-.0123195{col 71}{space 3} .0181064
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0107078{col 30}{space 2} .0044928{col 41}{space 1}    2.38{col 50}{space 3}0.017{col 58}{space 4} .0018936{col 71}{space 3}  .019522
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0072955{col 30}{space 2}  .011055{col 41}{space 1}    0.66{col 50}{space 3}0.509{col 58}{space 4}-.0143928{col 71}{space 3} .0289838
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0037459{col 30}{space 2} .0052282{col 41}{space 1}    0.72{col 50}{space 3}0.474{col 58}{space 4} -.006511{col 71}{space 3} .0140028
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0041564{col 30}{space 2} .0060618{col 41}{space 1}    0.69{col 50}{space 3}0.493{col 58}{space 4} -.007736{col 71}{space 3} .0160488
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0307871{col 30}{space 2} .0090237{col 41}{space 1}    3.41{col 50}{space 3}0.001{col 58}{space 4} .0130839{col 71}{space 3} .0484903
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0352572{col 30}{space 2} .0197675{col 41}{space 1}   -1.78{col 50}{space 3}0.075{col 58}{space 4} -.074038{col 71}{space 3} .0035237
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0148142{col 30}{space 2} .0168705{col 41}{space 1}    0.88{col 50}{space 3}0.380{col 58}{space 4}-.0182832{col 71}{space 3} .0479115
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2} .0016304{col 30}{space 2} .0240783{col 41}{space 1}    0.07{col 50}{space 3}0.946{col 58}{space 4}-.0456075{col 71}{space 3} .0488683
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2} -.003597{col 30}{space 2} .0229379{col 41}{space 1}   -0.16{col 50}{space 3}0.875{col 58}{space 4}-.0485977{col 71}{space 3} .0414036
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0137162{col 30}{space 2} .0255862{col 41}{space 1}    0.54{col 50}{space 3}0.592{col 58}{space 4}  -.03648{col 71}{space 3} .0639124
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2} .0161375{col 30}{space 2} .0260022{col 41}{space 1}    0.62{col 50}{space 3}0.535{col 58}{space 4}-.0348748{col 71}{space 3} .0671499
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0102172{col 30}{space 2} .0243736{col 41}{space 1}   -0.42{col 50}{space 3}0.675{col 58}{space 4}-.0580346{col 71}{space 3} .0376002
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0115125{col 30}{space 2} .0291715{col 41}{space 1}   -0.39{col 50}{space 3}0.693{col 58}{space 4}-.0687426{col 71}{space 3} .0457175
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0131088{col 30}{space 2} .0489095{col 41}{space 1}   -0.27{col 50}{space 3}0.789{col 58}{space 4}-.1090617{col 71}{space 3} .0828441
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0461586{col 30}{space 2}  .024031{col 41}{space 1}   -1.92{col 50}{space 3}0.055{col 58}{space 4}-.0933037{col 71}{space 3} .0009865
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0485488{col 30}{space 2} .0263462{col 41}{space 1}   -1.84{col 50}{space 3}0.066{col 58}{space 4} -.100236{col 71}{space 3} .0031385
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0370462{col 30}{space 2} .0312919{col 41}{space 1}    1.18{col 50}{space 3}0.237{col 58}{space 4}-.0243436{col 71}{space 3} .0984361
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}-.0121356{col 30}{space 2} .0218123{col 41}{space 1}   -0.56{col 50}{space 3}0.578{col 58}{space 4} -.054928{col 71}{space 3} .0306568
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} -.019467{col 30}{space 2} .0090054{col 41}{space 1}   -2.16{col 50}{space 3}0.031{col 58}{space 4}-.0371342{col 71}{space 3}-.0017997
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0336666{col 30}{space 2} .0280003{col 41}{space 1}   -1.20{col 50}{space 3}0.229{col 58}{space 4}-.0885989{col 71}{space 3} .0212657
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0029357{col 30}{space 2} .0087778{col 41}{space 1}    0.33{col 50}{space 3}0.738{col 58}{space 4} -.014285{col 71}{space 3} .0201565
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2}-.0795485{col 30}{space 2} .0158511{col 41}{space 1}   -5.02{col 50}{space 3}0.000{col 58}{space 4}-.1106459{col 71}{space 3}-.0484511
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}-.0751126{col 30}{space 2} .0159608{col 41}{space 1}   -4.71{col 50}{space 3}0.000{col 58}{space 4}-.1064253{col 71}{space 3}-.0437999
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2}-.0623795{col 30}{space 2} .0164533{col 41}{space 1}   -3.79{col 50}{space 3}0.000{col 58}{space 4}-.0946584{col 71}{space 3}-.0301005
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2} -.076148{col 30}{space 2} .0197648{col 41}{space 1}   -3.85{col 50}{space 3}0.000{col 58}{space 4}-.1149235{col 71}{space 3}-.0373726
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0054607{col 30}{space 2} .0015087{col 41}{space 1}    3.62{col 50}{space 3}0.000{col 58}{space 4} .0025009{col 71}{space 3} .0084204
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2}-.0291909{col 30}{space 2} .0068533{col 41}{space 1}   -4.26{col 50}{space 3}0.000{col 58}{space 4}-.0426359{col 71}{space 3}-.0157458
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2}-.0712384{col 30}{space 2} .0172104{col 41}{space 1}   -4.14{col 50}{space 3}0.000{col 58}{space 4}-.1050026{col 71}{space 3}-.0374743
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0155339{col 30}{space 2} .0130166{col 41}{space 1}   -1.19{col 50}{space 3}0.233{col 58}{space 4}-.0410704{col 71}{space 3} .0100026
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}-.0245486{col 30}{space 2} .0082362{col 41}{space 1}   -2.98{col 50}{space 3}0.003{col 58}{space 4}-.0407068{col 71}{space 3}-.0083904
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7404178{col 30}{space 2} .0310673{col 41}{space 1}   23.83{col 50}{space 3}0.000{col 58}{space 4} .6794685{col 71}{space 3}  .801367
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   21.06
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
.         // (4) Basic model + tehsil fixed effects + demographic covariates
. 
.         areg democracy d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a8)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     15622
{txt}{col 51}F({res}  34{txt},{res}   1261{txt}){col 67}= {res}      5.60
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3193
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3083
{txt}{col 51}Root MSE{col 67}= {res}    0.1477

{txt}{ralign 82:(Std. Err. adjusted for {res:1262} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}       democracy{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2} .0708716{col 30}{space 2} .0128761{col 41}{space 1}    5.50{col 50}{space 3}0.000{col 58}{space 4} .0456107{col 71}{space 3} .0961325
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2}  -.01139{col 30}{space 2} .0066145{col 41}{space 1}   -1.72{col 50}{space 3}0.085{col 58}{space 4}-.0243665{col 71}{space 3} .0015866
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} .0280219{col 30}{space 2} .0082751{col 41}{space 1}    3.39{col 50}{space 3}0.001{col 58}{space 4} .0117875{col 71}{space 3} .0442564
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2} .0039438{col 30}{space 2} .0083537{col 41}{space 1}    0.47{col 50}{space 3}0.637{col 58}{space 4}-.0124448{col 71}{space 3} .0203324
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2} .0102129{col 30}{space 2} .0043852{col 41}{space 1}    2.33{col 50}{space 3}0.020{col 58}{space 4} .0016099{col 71}{space 3} .0188159
{txt}{space 11}age_z {c |}{col 18}{res}{space 2} .0048457{col 30}{space 2} .0101399{col 41}{space 1}    0.48{col 50}{space 3}0.633{col 58}{space 4}-.0150472{col 71}{space 3} .0247386
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0032345{col 30}{space 2} .0050159{col 41}{space 1}    0.64{col 50}{space 3}0.519{col 58}{space 4}-.0066059{col 71}{space 3} .0130749
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0046503{col 30}{space 2} .0059679{col 41}{space 1}    0.78{col 50}{space 3}0.436{col 58}{space 4}-.0070578{col 71}{space 3} .0163583
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2} .0256948{col 30}{space 2} .0083734{col 41}{space 1}    3.07{col 50}{space 3}0.002{col 58}{space 4} .0092675{col 71}{space 3}  .042122
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}-.0420056{col 30}{space 2} .0192549{col 41}{space 1}   -2.18{col 50}{space 3}0.029{col 58}{space 4}-.0797808{col 71}{space 3}-.0042304
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0299914{col 30}{space 2} .0171847{col 41}{space 1}    1.75{col 50}{space 3}0.081{col 58}{space 4}-.0037224{col 71}{space 3} .0637053
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0029733{col 30}{space 2} .0205623{col 41}{space 1}   -0.14{col 50}{space 3}0.885{col 58}{space 4}-.0433135{col 71}{space 3} .0373669
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0124657{col 30}{space 2} .0203603{col 41}{space 1}   -0.61{col 50}{space 3}0.540{col 58}{space 4}-.0524095{col 71}{space 3} .0274781
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2} .0097684{col 30}{space 2} .0232182{col 41}{space 1}    0.42{col 50}{space 3}0.674{col 58}{space 4}-.0357823{col 71}{space 3}  .055319
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0016775{col 30}{space 2} .0224601{col 41}{space 1}   -0.07{col 50}{space 3}0.940{col 58}{space 4}-.0457409{col 71}{space 3} .0423858
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0106628{col 30}{space 2} .0213316{col 41}{space 1}   -0.50{col 50}{space 3}0.617{col 58}{space 4}-.0525121{col 71}{space 3} .0311866
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0271982{col 30}{space 2} .0278776{col 41}{space 1}   -0.98{col 50}{space 3}0.329{col 58}{space 4}-.0818898{col 71}{space 3} .0274934
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0137391{col 30}{space 2} .0489375{col 41}{space 1}   -0.28{col 50}{space 3}0.779{col 58}{space 4}-.1097469{col 71}{space 3} .0822688
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2}-.0430446{col 30}{space 2} .0221807{col 41}{space 1}   -1.94{col 50}{space 3}0.053{col 58}{space 4}-.0865597{col 71}{space 3} .0004706
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} -.042307{col 30}{space 2} .0268844{col 41}{space 1}   -1.57{col 50}{space 3}0.116{col 58}{space 4}-.0950501{col 71}{space 3}  .010436
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0321753{col 30}{space 2} .0340965{col 41}{space 1}    0.94{col 50}{space 3}0.346{col 58}{space 4}-.0347168{col 71}{space 3} .0990675
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0086513{col 30}{space 2} .0225729{col 41}{space 1}    0.38{col 50}{space 3}0.702{col 58}{space 4}-.0356332{col 71}{space 3} .0529359
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2}-.0173582{col 30}{space 2} .0085481{col 41}{space 1}   -2.03{col 50}{space 3}0.042{col 58}{space 4}-.0341283{col 71}{space 3}-.0005882
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2}-.0313249{col 30}{space 2} .0281353{col 41}{space 1}   -1.11{col 50}{space 3}0.266{col 58}{space 4}-.0865222{col 71}{space 3} .0238723
{txt}houseexpend_miss {c |}{col 18}{res}{space 2}-.0012816{col 30}{space 2} .0086438{col 41}{space 1}   -0.15{col 50}{space 3}0.882{col 58}{space 4}-.0182394{col 71}{space 3} .0156762
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2}-.0764846{col 30}{space 2} .0158112{col 41}{space 1}   -4.84{col 50}{space 3}0.000{col 58}{space 4}-.1075038{col 71}{space 3}-.0454654
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}-.0731811{col 30}{space 2} .0158978{col 41}{space 1}   -4.60{col 50}{space 3}0.000{col 58}{space 4}-.1043703{col 71}{space 3} -.041992
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2}-.0569955{col 30}{space 2} .0163471{col 41}{space 1}   -3.49{col 50}{space 3}0.001{col 58}{space 4} -.089066{col 71}{space 3}-.0249251
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.0786275{col 30}{space 2}  .019075{col 41}{space 1}   -4.12{col 50}{space 3}0.000{col 58}{space 4}-.1160497{col 71}{space 3}-.0412053
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0042537{col 30}{space 2} .0014495{col 41}{space 1}    2.93{col 50}{space 3}0.003{col 58}{space 4}   .00141{col 71}{space 3} .0070974
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2}-.0244099{col 30}{space 2} .0066866{col 41}{space 1}   -3.65{col 50}{space 3}0.000{col 58}{space 4}-.0375279{col 71}{space 3}-.0112919
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2}-.0751461{col 30}{space 2} .0172116{col 41}{space 1}   -4.37{col 50}{space 3}0.000{col 58}{space 4}-.1089127{col 71}{space 3}-.0413796
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0051669{col 30}{space 2} .0129963{col 41}{space 1}   -0.40{col 50}{space 3}0.691{col 58}{space 4}-.0306638{col 71}{space 3} .0203299
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}-.0210239{col 30}{space 2} .0079546{col 41}{space 1}   -2.64{col 50}{space 3}0.008{col 58}{space 4}-.0366296{col 71}{space 3}-.0054182
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .7295859{col 30}{space 2} .0297784{col 41}{space 1}   24.50{col 50}{space 3}0.000{col 58}{space 4} .6711651{col 71}{space 3} .7880066
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a8 {c |}   absorbed                                     (216 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1261) ={res}   34.70
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. 
. 
. ******************************
. **** APPENDIX 3: TABLE 3 ****
. ******************************
. 
.         // (1) Basic model + district fixed effects
. 
.         areg support_mil d_provides d_imposes, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}   2{txt},{res}   1185{txt}){col 67}= {res}      1.78
{txt}{col 51}Prob > F{col 67}= {res}    0.1698
{txt}{col 51}R-squared{col 67}= {res}    0.2226
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2184
{txt}{col 51}Root MSE{col 67}= {res}    0.2557

{txt}{ralign 78:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1} support_mil{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}d_provides {c |}{col 14}{res}{space 2}-.0300032{col 26}{space 2} .0221033{col 37}{space 1}   -1.36{col 46}{space 3}0.175{col 54}{space 4}-.0733691{col 67}{space 3} .0133627
{txt}{space 3}d_imposes {c |}{col 14}{res}{space 2} .0158953{col 26}{space 2}  .011051{col 37}{space 1}    1.44{col 46}{space 3}0.151{col 54}{space 4}-.0057864{col 67}{space 3}  .037577
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .2811302{col 26}{space 2} .0202043{col 37}{space 1}   13.91{col 46}{space 3}0.000{col 54}{space 4}   .24149{col 67}{space 3} .3207704
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    3.19
{txt}{col 13}Prob > F ={res}    0.0743
{txt}
{com}. 
.         // (2) Basic model + district fixed effects + demographic covariates
. 
.         areg support_mil d_provides d_imposes *_z *_miss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}  25{txt},{res}   1185{txt}){col 67}= {res}      5.78
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2518
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2464
{txt}{col 51}Root MSE{col 67}= {res}    0.2511

{txt}{ralign 82:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     support_mil{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2}-.0267074{col 30}{space 2} .0216868{col 41}{space 1}   -1.23{col 50}{space 3}0.218{col 58}{space 4}-.0692562{col 71}{space 3} .0158413
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2} .0292022{col 30}{space 2} .0110574{col 41}{space 1}    2.64{col 50}{space 3}0.008{col 58}{space 4}  .007508{col 71}{space 3} .0508964
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}-.0762746{col 30}{space 2} .0129596{col 41}{space 1}   -5.89{col 50}{space 3}0.000{col 58}{space 4} -.101701{col 71}{space 3}-.0508482
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0057902{col 30}{space 2} .0133439{col 41}{space 1}   -0.43{col 50}{space 3}0.664{col 58}{space 4}-.0319705{col 71}{space 3} .0203902
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0163498{col 30}{space 2}   .00812{col 41}{space 1}   -2.01{col 50}{space 3}0.044{col 58}{space 4}-.0322809{col 71}{space 3}-.0004187
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0236773{col 30}{space 2} .0188273{col 41}{space 1}   -1.26{col 50}{space 3}0.209{col 58}{space 4}-.0606158{col 71}{space 3} .0132612
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0312616{col 30}{space 2} .0091557{col 41}{space 1}    3.41{col 50}{space 3}0.001{col 58}{space 4} .0132984{col 71}{space 3} .0492248
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0124266{col 30}{space 2} .0100386{col 41}{space 1}    1.24{col 50}{space 3}0.216{col 58}{space 4}-.0072687{col 71}{space 3}  .032122
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0433872{col 30}{space 2}  .015528{col 41}{space 1}   -2.79{col 50}{space 3}0.005{col 58}{space 4}-.0738525{col 71}{space 3}-.0129219
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0688692{col 30}{space 2} .0395156{col 41}{space 1}    1.74{col 50}{space 3}0.082{col 58}{space 4}-.0086593{col 71}{space 3} .1463976
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0385938{col 30}{space 2} .0345648{col 41}{space 1}    1.12{col 50}{space 3}0.264{col 58}{space 4}-.0292211{col 71}{space 3} .1064087
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0242711{col 30}{space 2} .0367095{col 41}{space 1}   -0.66{col 50}{space 3}0.509{col 58}{space 4}-.0962941{col 71}{space 3} .0477518
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0032262{col 30}{space 2} .0382164{col 41}{space 1}   -0.08{col 50}{space 3}0.933{col 58}{space 4}-.0782056{col 71}{space 3} .0717533
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.0904854{col 30}{space 2} .0407911{col 41}{space 1}   -2.22{col 50}{space 3}0.027{col 58}{space 4}-.1705162{col 71}{space 3}-.0104547
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0813938{col 30}{space 2}  .040589{col 41}{space 1}   -2.01{col 50}{space 3}0.045{col 58}{space 4}-.1610281{col 71}{space 3}-.0017595
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0158659{col 30}{space 2} .0399259{col 41}{space 1}   -0.40{col 50}{space 3}0.691{col 58}{space 4}-.0941992{col 71}{space 3} .0624674
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0283958{col 30}{space 2} .0449022{col 41}{space 1}   -0.63{col 50}{space 3}0.527{col 58}{space 4}-.1164925{col 71}{space 3}  .059701
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0144368{col 30}{space 2} .0749908{col 41}{space 1}   -0.19{col 50}{space 3}0.847{col 58}{space 4}-.1615664{col 71}{space 3} .1326928
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0356717{col 30}{space 2} .0406925{col 41}{space 1}    0.88{col 50}{space 3}0.381{col 58}{space 4}-.0441657{col 71}{space 3} .1155091
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0202785{col 30}{space 2} .0409204{col 41}{space 1}    0.50{col 50}{space 3}0.620{col 58}{space 4} -.060006{col 71}{space 3} .1005631
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .1689488{col 30}{space 2} .1180413{col 41}{space 1}    1.43{col 50}{space 3}0.153{col 58}{space 4}-.0626444{col 71}{space 3} .4005419
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0738883{col 30}{space 2} .0439492{col 41}{space 1}    1.68{col 50}{space 3}0.093{col 58}{space 4}-.0123387{col 71}{space 3} .1601152
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0786639{col 30}{space 2} .0170019{col 41}{space 1}    4.63{col 50}{space 3}0.000{col 58}{space 4} .0453066{col 71}{space 3} .1120211
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0876136{col 30}{space 2} .0744804{col 41}{space 1}    1.18{col 50}{space 3}0.240{col 58}{space 4}-.0585146{col 71}{space 3} .2337419
{txt}houseexpend_miss {c |}{col 18}{res}{space 2} .0077091{col 30}{space 2} .0216789{col 41}{space 1}    0.36{col 50}{space 3}0.722{col 58}{space 4}-.0348242{col 71}{space 3} .0502424
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .3072694{col 30}{space 2} .0448503{col 41}{space 1}    6.85{col 50}{space 3}0.000{col 58}{space 4} .2192745{col 71}{space 3} .3952644
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    4.96
{txt}{col 13}Prob > F ={res}    0.0261
{txt}
{com}. 
.         // (3) Basic model + district fixed effects + demographic covariates + religion covariates
. 
.         areg support_mil d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}  34{txt},{res}   1185{txt}){col 67}= {res}      7.78
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.2780
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2722
{txt}{col 51}Root MSE{col 67}= {res}    0.2467

{txt}{ralign 82:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     support_mil{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2}-.0348164{col 30}{space 2} .0212383{col 41}{space 1}   -1.64{col 50}{space 3}0.101{col 58}{space 4}-.0764853{col 71}{space 3} .0068524
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2} .0252196{col 30}{space 2} .0107561{col 41}{space 1}    2.34{col 50}{space 3}0.019{col 58}{space 4} .0041166{col 71}{space 3} .0463226
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2}-.0797118{col 30}{space 2}  .012697{col 41}{space 1}   -6.28{col 50}{space 3}0.000{col 58}{space 4}-.1046229{col 71}{space 3}-.0548007
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0118577{col 30}{space 2} .0128094{col 41}{space 1}   -0.93{col 50}{space 3}0.355{col 58}{space 4}-.0369892{col 71}{space 3} .0132739
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0149586{col 30}{space 2}  .007889{col 41}{space 1}   -1.90{col 50}{space 3}0.058{col 58}{space 4}-.0304366{col 71}{space 3} .0005194
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0457578{col 30}{space 2} .0187348{col 41}{space 1}   -2.44{col 50}{space 3}0.015{col 58}{space 4} -.082515{col 71}{space 3}-.0090006
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0344714{col 30}{space 2} .0089839{col 41}{space 1}    3.84{col 50}{space 3}0.000{col 58}{space 4} .0168452{col 71}{space 3} .0520975
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0045545{col 30}{space 2}   .00993{col 41}{space 1}    0.46{col 50}{space 3}0.647{col 58}{space 4}-.0149278{col 71}{space 3} .0240368
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0413664{col 30}{space 2} .0149584{col 41}{space 1}   -2.77{col 50}{space 3}0.006{col 58}{space 4}-.0707142{col 71}{space 3}-.0120186
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2} .0463687{col 30}{space 2} .0366178{col 41}{space 1}    1.27{col 50}{space 3}0.206{col 58}{space 4}-.0254743{col 71}{space 3} .1182116
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0482524{col 30}{space 2} .0330356{col 41}{space 1}    1.46{col 50}{space 3}0.144{col 58}{space 4}-.0165625{col 71}{space 3} .1130672
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0242553{col 30}{space 2}  .035476{col 41}{space 1}   -0.68{col 50}{space 3}0.494{col 58}{space 4}-.0938581{col 71}{space 3} .0453475
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0099518{col 30}{space 2} .0363432{col 41}{space 1}   -0.27{col 50}{space 3}0.784{col 58}{space 4} -.081256{col 71}{space 3} .0613523
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.0819232{col 30}{space 2} .0398419{col 41}{space 1}   -2.06{col 50}{space 3}0.040{col 58}{space 4}-.1600918{col 71}{space 3}-.0037546
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0738118{col 30}{space 2} .0389058{col 41}{space 1}   -1.90{col 50}{space 3}0.058{col 58}{space 4}-.1501437{col 71}{space 3}   .00252
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0225706{col 30}{space 2} .0381281{col 41}{space 1}   -0.59{col 50}{space 3}0.554{col 58}{space 4}-.0973766{col 71}{space 3} .0522354
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0245206{col 30}{space 2} .0431576{col 41}{space 1}   -0.57{col 50}{space 3}0.570{col 58}{space 4}-.1091943{col 71}{space 3} .0601532
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2} -.021244{col 30}{space 2} .0761271{col 41}{space 1}   -0.28{col 50}{space 3}0.780{col 58}{space 4}-.1706029{col 71}{space 3} .1281149
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0290747{col 30}{space 2} .0392151{col 41}{space 1}    0.74{col 50}{space 3}0.459{col 58}{space 4}-.0478641{col 71}{space 3} .1060135
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2}-.0012991{col 30}{space 2} .0394856{col 41}{space 1}   -0.03{col 50}{space 3}0.974{col 58}{space 4}-.0787685{col 71}{space 3} .0761703
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2}  .127904{col 30}{space 2} .0962056{col 41}{space 1}    1.33{col 50}{space 3}0.184{col 58}{space 4}-.0608483{col 71}{space 3} .3166563
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2}  .061098{col 30}{space 2} .0411953{col 41}{space 1}    1.48{col 50}{space 3}0.138{col 58}{space 4}-.0197258{col 71}{space 3} .1419218
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0716948{col 30}{space 2} .0158779{col 41}{space 1}    4.52{col 50}{space 3}0.000{col 58}{space 4} .0405428{col 71}{space 3} .1028469
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0818338{col 30}{space 2} .0723927{col 41}{space 1}    1.13{col 50}{space 3}0.259{col 58}{space 4}-.0601983{col 71}{space 3}  .223866
{txt}houseexpend_miss {c |}{col 18}{res}{space 2}-.0082293{col 30}{space 2} .0195946{col 41}{space 1}   -0.42{col 50}{space 3}0.675{col 58}{space 4}-.0466733{col 71}{space 3} .0302147
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2} .0032151{col 30}{space 2} .0312266{col 41}{space 1}    0.10{col 50}{space 3}0.918{col 58}{space 4}-.0580505{col 71}{space 3} .0644806
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}  .068599{col 30}{space 2} .0316821{col 41}{space 1}    2.17{col 50}{space 3}0.031{col 58}{space 4} .0064396{col 71}{space 3} .1307583
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2} .0336878{col 30}{space 2} .0382825{col 41}{space 1}    0.88{col 50}{space 3}0.379{col 58}{space 4}-.0414214{col 71}{space 3} .1087969
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.1713835{col 30}{space 2} .0425607{col 41}{space 1}   -4.03{col 50}{space 3}0.000{col 58}{space 4}-.2548862{col 71}{space 3}-.0878809
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0045432{col 30}{space 2} .0026001{col 41}{space 1}    1.75{col 50}{space 3}0.081{col 58}{space 4}-.0005582{col 71}{space 3} .0096446
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2} .0647177{col 30}{space 2} .0109648{col 41}{space 1}    5.90{col 50}{space 3}0.000{col 58}{space 4} .0432052{col 71}{space 3} .0862302
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0463475{col 30}{space 2} .0334481{col 41}{space 1}    1.39{col 50}{space 3}0.166{col 58}{space 4}-.0192766{col 71}{space 3} .1119717
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0300082{col 30}{space 2} .0236012{col 41}{space 1}   -1.27{col 50}{space 3}0.204{col 58}{space 4} -.076313{col 71}{space 3} .0162966
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2} .0522197{col 30}{space 2} .0169474{col 41}{space 1}    3.08{col 50}{space 3}0.002{col 58}{space 4} .0189694{col 71}{space 3}   .08547
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .2786909{col 30}{space 2} .0562299{col 41}{space 1}    4.96{col 50}{space 3}0.000{col 58}{space 4} .1683696{col 71}{space 3} .3890122
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a7 {c |}   absorbed                                      (67 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    5.97
{txt}{col 13}Prob > F ={res}    0.0147
{txt}
{com}. 
.         // (4) Basic model + tehsil fixed effects + demographic covariates
.         
.         areg support_mil d_provides d_imposes *_z *_miss *_r *_rmiss, cluster(psu_new) a(a8)

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     12704
{txt}{col 51}F({res}  34{txt},{res}   1185{txt}){col 67}= {res}      5.54
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3643
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3517
{txt}{col 51}Root MSE{col 67}= {res}    0.2329

{txt}{ralign 82:(Std. Err. adjusted for {res:1186} clusters in psu_new)}
{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30}    Robust
{col 1}     support_mil{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      t{col 50}   P>|t|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}d_provides {c |}{col 18}{res}{space 2}-.0315203{col 30}{space 2} .0192043{col 41}{space 1}   -1.64{col 50}{space 3}0.101{col 58}{space 4}-.0691986{col 71}{space 3} .0061579
{txt}{space 7}d_imposes {c |}{col 18}{res}{space 2} .0344325{col 30}{space 2} .0101339{col 41}{space 1}    3.40{col 50}{space 3}0.001{col 58}{space 4} .0145501{col 71}{space 3}  .054315
{txt}{space 8}gender_z {c |}{col 18}{res}{space 2} -.070909{col 30}{space 2} .0133144{col 41}{space 1}   -5.33{col 50}{space 3}0.000{col 58}{space 4}-.0970315{col 71}{space 3}-.0447866
{txt}{space 9}urban_z {c |}{col 18}{res}{space 2}-.0114344{col 30}{space 2} .0136417{col 41}{space 1}   -0.84{col 50}{space 3}0.402{col 58}{space 4}-.0381989{col 71}{space 3} .0153301
{txt}{space 9}headh_z {c |}{col 18}{res}{space 2}-.0086499{col 30}{space 2} .0071641{col 41}{space 1}   -1.21{col 50}{space 3}0.228{col 58}{space 4}-.0227057{col 71}{space 3} .0054058
{txt}{space 11}age_z {c |}{col 18}{res}{space 2}-.0419844{col 30}{space 2} .0180821{col 41}{space 1}   -2.32{col 50}{space 3}0.020{col 58}{space 4}-.0774609{col 71}{space 3}-.0065078
{txt}{space 10}read_z {c |}{col 18}{res}{space 2} .0107534{col 30}{space 2} .0081112{col 41}{space 1}    1.33{col 50}{space 3}0.185{col 58}{space 4}-.0051605{col 71}{space 3} .0266673
{txt}{space 10}math_z {c |}{col 18}{res}{space 2} .0106952{col 30}{space 2}  .009149{col 41}{space 1}    1.17{col 50}{space 3}0.243{col 58}{space 4}-.0072548{col 71}{space 3} .0286452
{txt}{space 10}educ_z {c |}{col 18}{res}{space 2}-.0241806{col 30}{space 2} .0145831{col 41}{space 1}   -1.66{col 50}{space 3}0.098{col 58}{space 4}-.0527922{col 71}{space 3} .0044311
{txt}{space 3}houseexpend_z {c |}{col 18}{res}{space 2}  .032474{col 30}{space 2} .0346736{col 41}{space 1}    0.94{col 50}{space 3}0.349{col 58}{space 4}-.0355545{col 71}{space 3} .1005024
{txt}{space 4}assetindex_z {c |}{col 18}{res}{space 2} .0972228{col 30}{space 2} .0316646{col 41}{space 1}    3.07{col 50}{space 3}0.002{col 58}{space 4} .0350978{col 71}{space 3} .1593478
{txt}{space 4}ethnicity1_z {c |}{col 18}{res}{space 2}-.0397468{col 30}{space 2} .0312576{col 41}{space 1}   -1.27{col 50}{space 3}0.204{col 58}{space 4}-.1010731{col 71}{space 3} .0215795
{txt}{space 4}ethnicity2_z {c |}{col 18}{res}{space 2}-.0138945{col 30}{space 2} .0323856{col 41}{space 1}   -0.43{col 50}{space 3}0.668{col 58}{space 4}-.0774339{col 71}{space 3} .0496449
{txt}{space 4}ethnicity3_z {c |}{col 18}{res}{space 2}-.1045925{col 30}{space 2} .0357427{col 41}{space 1}   -2.93{col 50}{space 3}0.003{col 58}{space 4}-.1747184{col 71}{space 3}-.0344665
{txt}{space 4}ethnicity4_z {c |}{col 18}{res}{space 2}-.0931997{col 30}{space 2} .0351662{col 41}{space 1}   -2.65{col 50}{space 3}0.008{col 58}{space 4}-.1621948{col 71}{space 3}-.0242047
{txt}{space 4}ethnicity5_z {c |}{col 18}{res}{space 2}-.0405271{col 30}{space 2} .0337892{col 41}{space 1}   -1.20{col 50}{space 3}0.231{col 58}{space 4}-.1068204{col 71}{space 3} .0257662
{txt}{space 4}ethnicity6_z {c |}{col 18}{res}{space 2}-.0228139{col 30}{space 2} .0411559{col 41}{space 1}   -0.55{col 50}{space 3}0.579{col 58}{space 4}-.1035605{col 71}{space 3} .0579328
{txt}{space 4}ethnicity7_z {c |}{col 18}{res}{space 2}-.0541173{col 30}{space 2} .0686633{col 41}{space 1}   -0.79{col 50}{space 3}0.431{col 58}{space 4}-.1888325{col 71}{space 3}  .080598
{txt}{space 4}ethnicity8_z {c |}{col 18}{res}{space 2} .0067305{col 30}{space 2} .0348459{col 41}{space 1}    0.19{col 50}{space 3}0.847{col 58}{space 4} -.061636{col 71}{space 3}  .075097
{txt}{space 6}headh_miss {c |}{col 18}{res}{space 2} .0205547{col 30}{space 2} .0393445{col 41}{space 1}    0.52{col 50}{space 3}0.601{col 58}{space 4}-.0566379{col 71}{space 3} .0977474
{txt}{space 8}age_miss {c |}{col 18}{res}{space 2} .0205712{col 30}{space 2} .0534733{col 41}{space 1}    0.38{col 50}{space 3}0.701{col 58}{space 4}-.0843416{col 71}{space 3}  .125484
{txt}{space 7}read_miss {c |}{col 18}{res}{space 2} .0249786{col 30}{space 2} .0358953{col 41}{space 1}    0.70{col 50}{space 3}0.487{col 58}{space 4}-.0454468{col 71}{space 3} .0954041
{txt}{space 7}math_miss {c |}{col 18}{res}{space 2} .0383312{col 30}{space 2} .0148583{col 41}{space 1}    2.58{col 50}{space 3}0.010{col 58}{space 4} .0091797{col 71}{space 3} .0674828
{txt}{space 7}educ_miss {c |}{col 18}{res}{space 2} .0826826{col 30}{space 2} .0741746{col 41}{space 1}    1.11{col 50}{space 3}0.265{col 58}{space 4}-.0628455{col 71}{space 3} .2282108
{txt}houseexpend_miss {c |}{col 18}{res}{space 2}-.0199421{col 30}{space 2} .0171778{col 41}{space 1}   -1.16{col 50}{space 3}0.246{col 58}{space 4}-.0536445{col 71}{space 3} .0137602
{txt}{space 4}ahlesunnat_r {c |}{col 18}{res}{space 2} .0025564{col 30}{space 2} .0324791{col 41}{space 1}    0.08{col 50}{space 3}0.937{col 58}{space 4}-.0611667{col 71}{space 3} .0662794
{txt}{space 6}deobandi_r {c |}{col 18}{res}{space 2}   .03636{col 30}{space 2} .0325366{col 41}{space 1}    1.12{col 50}{space 3}0.264{col 58}{space 4}-.0274759{col 71}{space 3} .1001958
{txt}{space 4}ahleehadis_r {c |}{col 18}{res}{space 2} .0223826{col 30}{space 2}  .034893{col 41}{space 1}    0.64{col 50}{space 3}0.521{col 58}{space 4}-.0460763{col 71}{space 3} .0908414
{txt}{space 10}shia_r {c |}{col 18}{res}{space 2}-.1014913{col 30}{space 2} .0423711{col 41}{space 1}   -2.40{col 50}{space 3}0.017{col 58}{space 4}-.1846219{col 71}{space 3}-.0183606
{txt}{space 9}namaz_r {c |}{col 18}{res}{space 2} .0043238{col 30}{space 2} .0023315{col 41}{space 1}    1.85{col 50}{space 3}0.064{col 58}{space 4}-.0002506{col 71}{space 3} .0088982
{txt}{space 5}tah_namaz_r {c |}{col 18}{res}{space 2} .0626866{col 30}{space 2}  .010596{col 41}{space 1}    5.92{col 50}{space 3}0.000{col 58}{space 4} .0418975{col 71}{space 3} .0834757
{txt}ahlesunnat_rmiss {c |}{col 18}{res}{space 2} .0166288{col 30}{space 2} .0325456{col 41}{space 1}    0.51{col 50}{space 3}0.609{col 58}{space 4}-.0472246{col 71}{space 3} .0804821
{txt}{space 5}namaz_rmiss {c |}{col 18}{res}{space 2}-.0104475{col 30}{space 2} .0225162{col 41}{space 1}   -0.46{col 50}{space 3}0.643{col 58}{space 4}-.0546236{col 71}{space 3} .0337286
{txt}{space 1}tah_namaz_rmiss {c |}{col 18}{res}{space 2}  .021099{col 30}{space 2} .0150433{col 41}{space 1}    1.40{col 50}{space 3}0.161{col 58}{space 4}-.0084155{col 71}{space 3} .0506136
{txt}{space 11}_cons {c |}{col 18}{res}{space 2} .2718929{col 30}{space 2} .0538079{col 41}{space 1}    5.05{col 50}{space 3}0.000{col 58}{space 4} .1663236{col 71}{space 3} .3774623
{txt}{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
              a8 {c |}   absorbed                                     (214 categories)

{com}.         test d_provides = d_imposes

{p 0 7}{space 1}{text:( 1)}{space 1} {res}d_provides - d_imposes = 0{p_end}

{txt}       F(  1,  1185) ={res}    9.15
{txt}{col 13}Prob > F ={res}    0.0025
{txt}
{com}. 
. 
. ******************************
. **** APPENDIX 3: TABLE 4 ****
. ******************************
. 
.         // Two-way interactions: provides * endorsement treatment group and imposes * endoresement treatment group
.         
.                 // (1) Basic model + district fixed effects
.         
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x', cluster(psu_new) a(a7)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}   5{txt},{res}    951{txt}){col 67}= {res}      4.06
{txt}{col 51}Prob > F{col 67}= {res}    0.0012
{txt}{col 51}R-squared{col 67}= {res}    0.2900
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2851
{txt}{col 51}Root MSE{col 67}= {res}    0.2161

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2}-.0969508{col 39}{space 2} .0448406{col 50}{space 1}   -2.16{col 59}{space 3}0.031{col 67}{space 4}-.1849488{col 80}{space 3}-.0089528
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2}-.0031395{col 39}{space 2} .0382898{col 50}{space 1}   -0.08{col 59}{space 3}0.935{col 67}{space 4}-.0782819{col 80}{space 3} .0720028
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0601971{col 39}{space 2} .0457662{col 50}{space 1}    1.32{col 59}{space 3}0.189{col 67}{space 4}-.0296173{col 80}{space 3} .1500116
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0180719{col 39}{space 2}  .018593{col 50}{space 1}   -0.97{col 59}{space 3}0.331{col 67}{space 4}  -.05456{col 80}{space 3} .0184161
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0598565{col 39}{space 2} .0216721{col 50}{space 1}    2.76{col 59}{space 3}0.006{col 67}{space 4} .0173259{col 80}{space 3} .1023872
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .6513418{col 39}{space 2} .0375606{col 50}{space 1}   17.34{col 59}{space 3}0.000{col 67}{space 4} .5776307{col 80}{space 3}  .725053
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a7 {c |}   absorbed                                      (67 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.00
{txt}{col 13}Prob > F ={res}    0.9947
{txt}
{com}. 
.                 // (2) Basic model + district fixed effects + demographic covariates
. 
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x' *_z *_miss, cluster(psu_new) a(a7)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}  28{txt},{res}    951{txt}){col 67}= {res}      3.15
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3016
{txt}{col 51}Adj R-squared{col 67}= {res}    0.2952
{txt}{col 51}Root MSE{col 67}= {res}    0.2146

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2} -.092231{col 39}{space 2} .0449428{col 50}{space 1}   -2.05{col 59}{space 3}0.040{col 67}{space 4}-.1804295{col 80}{space 3}-.0040325
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2} .0020866{col 39}{space 2} .0382156{col 50}{space 1}    0.05{col 59}{space 3}0.956{col 67}{space 4}  -.07291{col 80}{space 3} .0770831
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0529201{col 39}{space 2} .0457273{col 50}{space 1}    1.16{col 59}{space 3}0.247{col 67}{space 4}-.0368179{col 80}{space 3} .1426581
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0204116{col 39}{space 2}  .018433{col 50}{space 1}   -1.11{col 59}{space 3}0.268{col 67}{space 4}-.0565856{col 80}{space 3} .0157625
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0595868{col 39}{space 2} .0213906{col 50}{space 1}    2.79{col 59}{space 3}0.005{col 67}{space 4} .0176086{col 80}{space 3}  .101565
{txt}{space 17}gender_z {c |}{col 27}{res}{space 2} .0170817{col 39}{space 2} .0130795{col 50}{space 1}    1.31{col 59}{space 3}0.192{col 67}{space 4}-.0085864{col 80}{space 3} .0427498
{txt}{space 18}urban_z {c |}{col 27}{res}{space 2}-.0162461{col 39}{space 2} .0133129{col 50}{space 1}   -1.22{col 59}{space 3}0.223{col 67}{space 4}-.0423721{col 80}{space 3} .0098799
{txt}{space 18}headh_z {c |}{col 27}{res}{space 2} -.009822{col 39}{space 2} .0080212{col 50}{space 1}   -1.22{col 59}{space 3}0.221{col 67}{space 4}-.0255632{col 80}{space 3} .0059192
{txt}{space 20}age_z {c |}{col 27}{res}{space 2} .0336703{col 39}{space 2} .0175973{col 50}{space 1}    1.91{col 59}{space 3}0.056{col 67}{space 4}-.0008637{col 80}{space 3} .0682042
{txt}{space 19}read_z {c |}{col 27}{res}{space 2}-.0012545{col 39}{space 2} .0104712{col 50}{space 1}   -0.12{col 59}{space 3}0.905{col 67}{space 4}-.0218039{col 80}{space 3} .0192949
{txt}{space 19}math_z {c |}{col 27}{res}{space 2} .0187493{col 39}{space 2} .0104602{col 50}{space 1}    1.79{col 59}{space 3}0.073{col 67}{space 4}-.0017783{col 80}{space 3}  .039277
{txt}{space 19}educ_z {c |}{col 27}{res}{space 2} .0499211{col 39}{space 2} .0149714{col 50}{space 1}    3.33{col 59}{space 3}0.001{col 67}{space 4} .0205403{col 80}{space 3} .0793018
{txt}{space 12}houseexpend_z {c |}{col 27}{res}{space 2} .0643367{col 39}{space 2} .0347951{col 50}{space 1}    1.85{col 59}{space 3}0.065{col 67}{space 4}-.0039473{col 80}{space 3} .1326207
{txt}{space 13}assetindex_z {c |}{col 27}{res}{space 2} .0627973{col 39}{space 2} .0352989{col 50}{space 1}    1.78{col 59}{space 3}0.076{col 67}{space 4}-.0064755{col 80}{space 3} .1320702
{txt}{space 13}ethnicity1_z {c |}{col 27}{res}{space 2}-.0007679{col 39}{space 2} .0333028{col 50}{space 1}   -0.02{col 59}{space 3}0.982{col 67}{space 4}-.0661235{col 80}{space 3} .0645876
{txt}{space 13}ethnicity2_z {c |}{col 27}{res}{space 2}-.0099575{col 39}{space 2} .0342113{col 50}{space 1}   -0.29{col 59}{space 3}0.771{col 67}{space 4}-.0770959{col 80}{space 3} .0571808
{txt}{space 13}ethnicity3_z {c |}{col 27}{res}{space 2}-.0045186{col 39}{space 2} .0361834{col 50}{space 1}   -0.12{col 59}{space 3}0.901{col 67}{space 4}-.0755272{col 80}{space 3} .0664899
{txt}{space 13}ethnicity4_z {c |}{col 27}{res}{space 2} .0367945{col 39}{space 2} .0367296{col 50}{space 1}    1.00{col 59}{space 3}0.317{col 67}{space 4}-.0352859{col 80}{space 3} .1088749
{txt}{space 13}ethnicity5_z {c |}{col 27}{res}{space 2}  .020738{col 39}{space 2} .0358658{col 50}{space 1}    0.58{col 59}{space 3}0.563{col 67}{space 4}-.0496472{col 80}{space 3} .0911232
{txt}{space 13}ethnicity6_z {c |}{col 27}{res}{space 2}-.0159115{col 39}{space 2} .0449754{col 50}{space 1}   -0.35{col 59}{space 3}0.724{col 67}{space 4} -.104174{col 80}{space 3}  .072351
{txt}{space 13}ethnicity7_z {c |}{col 27}{res}{space 2}-.0680769{col 39}{space 2} .1250879{col 50}{space 1}   -0.54{col 59}{space 3}0.586{col 67}{space 4}-.3135572{col 80}{space 3} .1774034
{txt}{space 13}ethnicity8_z {c |}{col 27}{res}{space 2} .0189522{col 39}{space 2} .0403225{col 50}{space 1}    0.47{col 59}{space 3}0.638{col 67}{space 4}-.0601793{col 80}{space 3} .0980836
{txt}{space 15}headh_miss {c |}{col 27}{res}{space 2} .0404715{col 39}{space 2} .0482974{col 50}{space 1}    0.84{col 59}{space 3}0.402{col 67}{space 4}-.0543103{col 80}{space 3} .1352534
{txt}{space 17}age_miss {c |}{col 27}{res}{space 2} .0758396{col 39}{space 2} .0558257{col 50}{space 1}    1.36{col 59}{space 3}0.175{col 67}{space 4}-.0337162{col 80}{space 3} .1853954
{txt}{space 16}read_miss {c |}{col 27}{res}{space 2}-.0091632{col 39}{space 2} .0312323{col 50}{space 1}   -0.29{col 59}{space 3}0.769{col 67}{space 4}-.0704553{col 80}{space 3}  .052129
{txt}{space 16}math_miss {c |}{col 27}{res}{space 2} .0166054{col 39}{space 2} .0150968{col 50}{space 1}    1.10{col 59}{space 3}0.272{col 67}{space 4}-.0130215{col 80}{space 3} .0462323
{txt}{space 16}educ_miss {c |}{col 27}{res}{space 2} .0612607{col 39}{space 2} .0307119{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0009897{col 80}{space 3} .1215317
{txt}{space 9}houseexpend_miss {c |}{col 27}{res}{space 2} .0298403{col 39}{space 2} .0165292{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0025977{col 80}{space 3} .0622783
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .5694374{col 39}{space 2}  .053855{col 50}{space 1}   10.57{col 59}{space 3}0.000{col 67}{space 4} .4637489{col 80}{space 3} .6751258
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a7 {c |}   absorbed                                      (67 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.02
{txt}{col 13}Prob > F ={res}    0.8958
{txt}
{com}. 
.                 // (3) Basic model + district fixed effects + demographic covariates + religion covariates
.         
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x' *_z *_miss *_r *_rmiss, cluster(psu_new) a(a7)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}  37{txt},{res}    951{txt}){col 67}= {res}      2.93
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3073
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3003
{txt}{col 51}Root MSE{col 67}= {res}    0.2138

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2}-.0920528{col 39}{space 2} .0444851{col 50}{space 1}   -2.07{col 59}{space 3}0.039{col 67}{space 4} -.179353{col 80}{space 3}-.0047526
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2}-.0006557{col 39}{space 2} .0379482{col 50}{space 1}   -0.02{col 59}{space 3}0.986{col 67}{space 4}-.0751275{col 80}{space 3} .0738161
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0511274{col 39}{space 2} .0453622{col 50}{space 1}    1.13{col 59}{space 3}0.260{col 67}{space 4}-.0378942{col 80}{space 3}  .140149
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0230357{col 39}{space 2} .0181897{col 50}{space 1}   -1.27{col 59}{space 3}0.206{col 67}{space 4}-.0587322{col 80}{space 3} .0126609
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0607882{col 39}{space 2} .0210585{col 50}{space 1}    2.89{col 59}{space 3}0.004{col 67}{space 4} .0194616{col 80}{space 3} .1021147
{txt}{space 17}gender_z {c |}{col 27}{res}{space 2} .0167889{col 39}{space 2} .0132336{col 50}{space 1}    1.27{col 59}{space 3}0.205{col 67}{space 4}-.0091815{col 80}{space 3} .0427593
{txt}{space 18}urban_z {c |}{col 27}{res}{space 2}-.0181348{col 39}{space 2} .0132055{col 50}{space 1}   -1.37{col 59}{space 3}0.170{col 67}{space 4}  -.04405{col 80}{space 3} .0077804
{txt}{space 18}headh_z {c |}{col 27}{res}{space 2}-.0093318{col 39}{space 2} .0080076{col 50}{space 1}   -1.17{col 59}{space 3}0.244{col 67}{space 4}-.0250465{col 80}{space 3} .0063828
{txt}{space 20}age_z {c |}{col 27}{res}{space 2} .0190888{col 39}{space 2} .0177003{col 50}{space 1}    1.08{col 59}{space 3}0.281{col 67}{space 4}-.0156474{col 80}{space 3}  .053825
{txt}{space 19}read_z {c |}{col 27}{res}{space 2} .0008378{col 39}{space 2} .0104263{col 50}{space 1}    0.08{col 59}{space 3}0.936{col 67}{space 4}-.0196235{col 80}{space 3} .0212991
{txt}{space 19}math_z {c |}{col 27}{res}{space 2}  .015374{col 39}{space 2} .0104345{col 50}{space 1}    1.47{col 59}{space 3}0.141{col 67}{space 4}-.0051033{col 80}{space 3} .0358512
{txt}{space 19}educ_z {c |}{col 27}{res}{space 2} .0457245{col 39}{space 2} .0149327{col 50}{space 1}    3.06{col 59}{space 3}0.002{col 67}{space 4} .0164197{col 80}{space 3} .0750294
{txt}{space 12}houseexpend_z {c |}{col 27}{res}{space 2} .0536636{col 39}{space 2} .0343985{col 50}{space 1}    1.56{col 59}{space 3}0.119{col 67}{space 4}-.0138422{col 80}{space 3} .1211693
{txt}{space 13}assetindex_z {c |}{col 27}{res}{space 2}  .069186{col 39}{space 2} .0346914{col 50}{space 1}    1.99{col 59}{space 3}0.046{col 67}{space 4} .0011055{col 80}{space 3} .1372665
{txt}{space 13}ethnicity1_z {c |}{col 27}{res}{space 2}-.0004387{col 39}{space 2} .0330003{col 50}{space 1}   -0.01{col 59}{space 3}0.989{col 67}{space 4}-.0652004{col 80}{space 3} .0643231
{txt}{space 13}ethnicity2_z {c |}{col 27}{res}{space 2}-.0120936{col 39}{space 2} .0338676{col 50}{space 1}   -0.36{col 59}{space 3}0.721{col 67}{space 4}-.0785575{col 80}{space 3} .0543703
{txt}{space 13}ethnicity3_z {c |}{col 27}{res}{space 2} .0001725{col 39}{space 2} .0357428{col 50}{space 1}    0.00{col 59}{space 3}0.996{col 67}{space 4}-.0699713{col 80}{space 3} .0703164
{txt}{space 13}ethnicity4_z {c |}{col 27}{res}{space 2} .0435325{col 39}{space 2} .0359577{col 50}{space 1}    1.21{col 59}{space 3}0.226{col 67}{space 4} -.027033{col 80}{space 3}  .114098
{txt}{space 13}ethnicity5_z {c |}{col 27}{res}{space 2}  .020587{col 39}{space 2} .0354784{col 50}{space 1}    0.58{col 59}{space 3}0.562{col 67}{space 4}-.0490379{col 80}{space 3}  .090212
{txt}{space 13}ethnicity6_z {c |}{col 27}{res}{space 2}-.0125638{col 39}{space 2} .0446291{col 50}{space 1}   -0.28{col 59}{space 3}0.778{col 67}{space 4}-.1001467{col 80}{space 3} .0750191
{txt}{space 13}ethnicity7_z {c |}{col 27}{res}{space 2}-.0678997{col 39}{space 2} .1241788{col 50}{space 1}   -0.55{col 59}{space 3}0.585{col 67}{space 4}-.3115959{col 80}{space 3} .1757965
{txt}{space 13}ethnicity8_z {c |}{col 27}{res}{space 2} .0198138{col 39}{space 2} .0400737{col 50}{space 1}    0.49{col 59}{space 3}0.621{col 67}{space 4}-.0588293{col 80}{space 3} .0984569
{txt}{space 15}headh_miss {c |}{col 27}{res}{space 2} .0240149{col 39}{space 2} .0465192{col 50}{space 1}    0.52{col 59}{space 3}0.606{col 67}{space 4}-.0672773{col 80}{space 3} .1153071
{txt}{space 17}age_miss {c |}{col 27}{res}{space 2} .0746188{col 39}{space 2} .0564465{col 50}{space 1}    1.32{col 59}{space 3}0.187{col 67}{space 4}-.0361553{col 80}{space 3}  .185393
{txt}{space 16}read_miss {c |}{col 27}{res}{space 2}-.0037548{col 39}{space 2} .0312229{col 50}{space 1}   -0.12{col 59}{space 3}0.904{col 67}{space 4}-.0650285{col 80}{space 3} .0575189
{txt}{space 16}math_miss {c |}{col 27}{res}{space 2} .0137901{col 39}{space 2} .0149624{col 50}{space 1}    0.92{col 59}{space 3}0.357{col 67}{space 4}-.0155731{col 80}{space 3} .0431532
{txt}{space 16}educ_miss {c |}{col 27}{res}{space 2} .0604236{col 39}{space 2} .0301044{col 50}{space 1}    2.01{col 59}{space 3}0.045{col 67}{space 4} .0013449{col 80}{space 3} .1195023
{txt}{space 9}houseexpend_miss {c |}{col 27}{res}{space 2} .0195574{col 39}{space 2} .0165742{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4}-.0129689{col 80}{space 3} .0520836
{txt}{space 13}ahlesunnat_r {c |}{col 27}{res}{space 2}-.0336106{col 39}{space 2} .0260665{col 50}{space 1}   -1.29{col 59}{space 3}0.198{col 67}{space 4}-.0847651{col 80}{space 3} .0175439
{txt}{space 15}deobandi_r {c |}{col 27}{res}{space 2}-.0036227{col 39}{space 2} .0264798{col 50}{space 1}   -0.14{col 59}{space 3}0.891{col 67}{space 4}-.0555883{col 80}{space 3} .0483428
{txt}{space 13}ahleehadis_r {c |}{col 27}{res}{space 2}-.0313687{col 39}{space 2} .0294458{col 50}{space 1}   -1.07{col 59}{space 3}0.287{col 67}{space 4} -.089155{col 80}{space 3} .0264176
{txt}{space 19}shia_r {c |}{col 27}{res}{space 2}-.0886572{col 39}{space 2} .0426159{col 50}{space 1}   -2.08{col 59}{space 3}0.038{col 67}{space 4}-.1722892{col 80}{space 3}-.0050251
{txt}{space 18}namaz_r {c |}{col 27}{res}{space 2} .0048386{col 39}{space 2} .0025355{col 50}{space 1}    1.91{col 59}{space 3}0.057{col 67}{space 4}-.0001372{col 80}{space 3} .0098144
{txt}{space 14}tah_namaz_r {c |}{col 27}{res}{space 2} .0247504{col 39}{space 2}   .01042{col 50}{space 1}    2.38{col 59}{space 3}0.018{col 67}{space 4} .0043015{col 80}{space 3} .0451993
{txt}{space 9}ahlesunnat_rmiss {c |}{col 27}{res}{space 2} .0163237{col 39}{space 2} .0273813{col 50}{space 1}    0.60{col 59}{space 3}0.551{col 67}{space 4} -.037411{col 80}{space 3} .0700584
{txt}{space 14}namaz_rmiss {c |}{col 27}{res}{space 2} -.012817{col 39}{space 2} .0229706{col 50}{space 1}   -0.56{col 59}{space 3}0.577{col 67}{space 4}-.0578959{col 80}{space 3}  .032262
{txt}{space 10}tah_namaz_rmiss {c |}{col 27}{res}{space 2}-.0051827{col 39}{space 2} .0121659{col 50}{space 1}   -0.43{col 59}{space 3}0.670{col 67}{space 4}-.0290577{col 80}{space 3} .0186924
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .5802669{col 39}{space 2} .0608859{col 50}{space 1}    9.53{col 59}{space 3}0.000{col 67}{space 4} .4607808{col 80}{space 3} .6997531
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a7 {c |}   absorbed                                      (67 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.04
{txt}{col 13}Prob > F ={res}    0.8483
{txt}
{com}. 
.                 // (4) Basic model + tehsil fixed effects + demographic covariates
.         
.                 local group  "militancy"
{txt}
{com}.                 foreach x of local group {c -(}
{txt}  2{com}.                         areg policy_pref_`x' treat_`x' d_provides dprovides_treat_`x' d_imposes dimposes_treat_`x' *_z *_miss *_r *_rmiss, cluster(psu_new) a(a8)
{txt}  3{com}.                 {c )-}

{txt}Linear regression, absorbing indicators{col 51}Number of obs{col 67}= {res}     10312
{txt}{col 51}F({res}  37{txt},{res}    951{txt}){col 67}= {res}      2.61
{txt}{col 51}Prob > F{col 67}= {res}    0.0000
{txt}{col 51}R-squared{col 67}= {res}    0.3734
{txt}{col 51}Adj R-squared{col 67}= {res}    0.3582
{txt}{col 51}Root MSE{col 67}= {res}    0.2048

{txt}{ralign 91:(Std. Err. adjusted for {res:952} clusters in psu_new)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}    policy_pref_militancy{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}treat_militancy {c |}{col 27}{res}{space 2}-.0874392{col 39}{space 2} .0360845{col 50}{space 1}   -2.42{col 59}{space 3}0.016{col 67}{space 4}-.1582537{col 80}{space 3}-.0166247
{txt}{space 15}d_provides {c |}{col 27}{res}{space 2}-.0017043{col 39}{space 2}  .030246{col 50}{space 1}   -0.06{col 59}{space 3}0.955{col 67}{space 4} -.061061{col 80}{space 3} .0576524
{txt}dprovides_treat_militancy {c |}{col 27}{res}{space 2} .0531848{col 39}{space 2} .0362135{col 50}{space 1}    1.47{col 59}{space 3}0.142{col 67}{space 4}-.0178829{col 80}{space 3} .1242525
{txt}{space 16}d_imposes {c |}{col 27}{res}{space 2}-.0155788{col 39}{space 2} .0182838{col 50}{space 1}   -0.85{col 59}{space 3}0.394{col 67}{space 4}-.0514601{col 80}{space 3} .0203025
{txt}{space 1}dimposes_treat_militancy {c |}{col 27}{res}{space 2} .0576387{col 39}{space 2} .0208435{col 50}{space 1}    2.77{col 59}{space 3}0.006{col 67}{space 4} .0167341{col 80}{space 3} .0985433
{txt}{space 17}gender_z {c |}{col 27}{res}{space 2} .0273446{col 39}{space 2} .0146148{col 50}{space 1}    1.87{col 59}{space 3}0.062{col 67}{space 4}-.0013363{col 80}{space 3} .0560255
{txt}{space 18}urban_z {c |}{col 27}{res}{space 2}-.0175922{col 39}{space 2} .0139357{col 50}{space 1}   -1.26{col 59}{space 3}0.207{col 67}{space 4}-.0449404{col 80}{space 3} .0097561
{txt}{space 18}headh_z {c |}{col 27}{res}{space 2}-.0045411{col 39}{space 2}  .007495{col 50}{space 1}   -0.61{col 59}{space 3}0.545{col 67}{space 4}-.0192497{col 80}{space 3} .0101675
{txt}{space 20}age_z {c |}{col 27}{res}{space 2} .0171323{col 39}{space 2} .0167028{col 50}{space 1}    1.03{col 59}{space 3}0.305{col 67}{space 4}-.0156464{col 80}{space 3}  .049911
{txt}{space 19}read_z {c |}{col 27}{res}{space 2}-.0007225{col 39}{space 2} .0102133{col 50}{space 1}   -0.07{col 59}{space 3}0.944{col 67}{space 4}-.0207656{col 80}{space 3} .0193207
{txt}{space 19}math_z {c |}{col 27}{res}{space 2} .0085647{col 39}{space 2} .0101243{col 50}{space 1}    0.85{col 59}{space 3}0.398{col 67}{space 4}-.0113039{col 80}{space 3} .0284332
{txt}{space 19}educ_z {c |}{col 27}{res}{space 2} .0421964{col 39}{space 2}   .01437{col 50}{space 1}    2.94{col 59}{space 3}0.003{col 67}{space 4} .0139958{col 80}{space 3} .0703969
{txt}{space 12}houseexpend_z {c |}{col 27}{res}{space 2}  .030642{col 39}{space 2} .0330898{col 50}{space 1}    0.93{col 59}{space 3}0.355{col 67}{space 4}-.0342955{col 80}{space 3} .0955794
{txt}{space 13}assetindex_z {c |}{col 27}{res}{space 2} .0938475{col 39}{space 2} .0348602{col 50}{space 1}    2.69{col 59}{space 3}0.007{col 67}{space 4} .0254358{col 80}{space 3} .1622592
{txt}{space 13}ethnicity1_z {c |}{col 27}{res}{space 2} -.014583{col 39}{space 2} .0312201{col 50}{space 1}   -0.47{col 59}{space 3}0.641{col 67}{space 4}-.0758513{col 80}{space 3} .0466853
{txt}{space 13}ethnicity2_z {c |}{col 27}{res}{space 2}-.0217207{col 39}{space 2} .0321493{col 50}{space 1}   -0.68{col 59}{space 3}0.499{col 67}{space 4}-.0848124{col 80}{space 3} .0413711
{txt}{space 13}ethnicity3_z {c |}{col 27}{res}{space 2}-.0117146{col 39}{space 2}  .035187{col 50}{space 1}   -0.33{col 59}{space 3}0.739{col 67}{space 4}-.0807677{col 80}{space 3} .0573385
{txt}{space 13}ethnicity4_z {c |}{col 27}{res}{space 2} .0192315{col 39}{space 2} .0332808{col 50}{space 1}    0.58{col 59}{space 3}0.563{col 67}{space 4}-.0460808{col 80}{space 3} .0845439
{txt}{space 13}ethnicity5_z {c |}{col 27}{res}{space 2} .0128515{col 39}{space 2}   .03361{col 50}{space 1}    0.38{col 59}{space 3}0.702{col 67}{space 4}-.0531069{col 80}{space 3} .0788099
{txt}{space 13}ethnicity6_z {c |}{col 27}{res}{space 2}-.0204257{col 39}{space 2} .0427454{col 50}{space 1}   -0.48{col 59}{space 3}0.633{col 67}{space 4} -.104312{col 80}{space 3} .0634605
{txt}{space 13}ethnicity7_z {c |}{col 27}{res}{space 2}-.0920695{col 39}{space 2} .1201202{col 50}{space 1}   -0.77{col 59}{space 3}0.444{col 67}{space 4}-.3278008{col 80}{space 3} .1436618
{txt}{space 13}ethnicity8_z {c |}{col 27}{res}{space 2} -.001508{col 39}{space 2} .0388593{col 50}{space 1}   -0.04{col 59}{space 3}0.969{col 67}{space 4} -.077768{col 80}{space 3}  .074752
{txt}{space 15}headh_miss {c |}{col 27}{res}{space 2} .0212962{col 39}{space 2} .0508649{col 50}{space 1}    0.42{col 59}{space 3}0.676{col 67}{space 4}-.0785243{col 80}{space 3} .1211167
{txt}{space 17}age_miss {c |}{col 27}{res}{space 2} .0799012{col 39}{space 2}  .052447{col 50}{space 1}    1.52{col 59}{space 3}0.128{col 67}{space 4}-.0230239{col 80}{space 3} .1828263
{txt}{space 16}read_miss {c |}{col 27}{res}{space 2}  .007442{col 39}{space 2} .0301478{col 50}{space 1}    0.25{col 59}{space 3}0.805{col 67}{space 4}-.0517219{col 80}{space 3}  .066606
{txt}{space 16}math_miss {c |}{col 27}{res}{space 2} .0182282{col 39}{space 2} .0152589{col 50}{space 1}    1.19{col 59}{space 3}0.233{col 67}{space 4}-.0117169{col 80}{space 3} .0481733
{txt}{space 16}educ_miss {c |}{col 27}{res}{space 2}  .060511{col 39}{space 2} .0297078{col 50}{space 1}    2.04{col 59}{space 3}0.042{col 67}{space 4} .0022106{col 80}{space 3} .1188114
{txt}{space 9}houseexpend_miss {c |}{col 27}{res}{space 2} .0177324{col 39}{space 2}  .016949{col 50}{space 1}    1.05{col 59}{space 3}0.296{col 67}{space 4}-.0155294{col 80}{space 3} .0509942
{txt}{space 13}ahlesunnat_r {c |}{col 27}{res}{space 2}-.0140663{col 39}{space 2} .0279736{col 50}{space 1}   -0.50{col 59}{space 3}0.615{col 67}{space 4}-.0689634{col 80}{space 3} .0408309
{txt}{space 15}deobandi_r {c |}{col 27}{res}{space 2}  .006274{col 39}{space 2} .0282928{col 50}{space 1}    0.22{col 59}{space 3}0.825{col 67}{space 4}-.0492496{col 80}{space 3} .0617976
{txt}{space 13}ahleehadis_r {c |}{col 27}{res}{space 2}-.0127203{col 39}{space 2} .0306318{col 50}{space 1}   -0.42{col 59}{space 3}0.678{col 67}{space 4}-.0728341{col 80}{space 3} .0473935
{txt}{space 19}shia_r {c |}{col 27}{res}{space 2}-.0295451{col 39}{space 2} .0390707{col 50}{space 1}   -0.76{col 59}{space 3}0.450{col 67}{space 4}-.1062199{col 80}{space 3} .0471297
{txt}{space 18}namaz_r {c |}{col 27}{res}{space 2} .0017941{col 39}{space 2} .0023847{col 50}{space 1}    0.75{col 59}{space 3}0.452{col 67}{space 4}-.0028858{col 80}{space 3} .0064739
{txt}{space 14}tah_namaz_r {c |}{col 27}{res}{space 2}  .025003{col 39}{space 2} .0101588{col 50}{space 1}    2.46{col 59}{space 3}0.014{col 67}{space 4} .0050667{col 80}{space 3} .0449394
{txt}{space 9}ahlesunnat_rmiss {c |}{col 27}{res}{space 2} .0113834{col 39}{space 2} .0286637{col 50}{space 1}    0.40{col 59}{space 3}0.691{col 67}{space 4} -.044868{col 80}{space 3} .0676349
{txt}{space 14}namaz_rmiss {c |}{col 27}{res}{space 2}-.0009973{col 39}{space 2} .0228911{col 50}{space 1}   -0.04{col 59}{space 3}0.965{col 67}{space 4}-.0459201{col 80}{space 3} .0439255
{txt}{space 10}tah_namaz_rmiss {c |}{col 27}{res}{space 2} .0077188{col 39}{space 2}  .011916{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0156659{col 80}{space 3} .0311035
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  .570811{col 39}{space 2} .0573856{col 50}{space 1}    9.95{col 59}{space 3}0.000{col 67}{space 4}  .458194{col 80}{space 3} .6834279
{txt}{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                       a8 {c |}   absorbed                                     (208 categories)

{com}. 
.                 test dprovides_treat_militancy = dimposes_treat_militancy

{p 0 7}{space 1}{text:( 1)}{space 1} {res}dprovides_treat_militancy - dimposes_treat_militancy = 0{p_end}

{txt}       F(  1,   951) ={res}    0.01
{txt}{col 13}Prob > F ={res}    0.9148
{txt}
{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/rebeccalittman/Desktop/PSRM Submission/Replication Files/Data/ReplicationResults.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}11 Oct 2016, 10:46:28
{txt}{.-}
{smcl}
{txt}{sf}{ul off}